---
_id: '14240'
abstract:
- lang: eng
  text: This paper introduces a novel method for simulating large bodies of water
    as a height field. At the start of each time step, we partition the waves into
    a bulk flow (which approximately satisfies the assumptions of the shallow water
    equations) and surface waves (which approximately satisfy the assumptions of Airy
    wave theory). We then solve the two wave regimes separately using appropriate
    state-of-the-art techniques, and re-combine the resulting wave velocities at the
    end of each step. This strategy leads to the first heightfield wave model capable
    of simulating complex interactions between both deep and shallow water effects,
    like the waves from a boat wake sloshing up onto a beach, or a dam break producing
    wave interference patterns and eddies. We also analyze the numerical dispersion
    created by our method and derive an exact correction factor for waves at a constant
    water depth, giving us a numerically perfect re-creation of theoretical water
    wave dispersion patterns.
acknowledged_ssus:
- _id: ScienComp
acknowledgement: "We thank Georg Sperl for helping with early research for this paper,
  Mickael Ly and Yi-Lu Chen for proofreading, and members of the ISTA Visual Computing
  Group for general feedback. This project was funded in part by the European Research
  Council (ERC Consolidator Grant 101045083 CoDiNA).\r\nThe motorboat and sailboat
  were modeled by Sergei and the palmtrees by YadroGames. The environment map was
  created by Emil Persson."
article_number: '83'
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Stefan
  full_name: Jeschke, Stefan
  id: 44D6411A-F248-11E8-B48F-1D18A9856A87
  last_name: Jeschke
- first_name: Christopher J
  full_name: Wojtan, Christopher J
  id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87
  last_name: Wojtan
  orcid: 0000-0001-6646-5546
citation:
  ama: Jeschke S, Wojtan C. Generalizing shallow water simulations with dispersive
    surface waves. <i>ACM Transactions on Graphics</i>. 2023;42(4). doi:<a href="https://doi.org/10.1145/3592098">10.1145/3592098</a>
  apa: Jeschke, S., &#38; Wojtan, C. (2023). Generalizing shallow water simulations
    with dispersive surface waves. <i>ACM Transactions on Graphics</i>. Association
    for Computing Machinery. <a href="https://doi.org/10.1145/3592098">https://doi.org/10.1145/3592098</a>
  chicago: Jeschke, Stefan, and Chris Wojtan. “Generalizing Shallow Water Simulations
    with Dispersive Surface Waves.” <i>ACM Transactions on Graphics</i>. Association
    for Computing Machinery, 2023. <a href="https://doi.org/10.1145/3592098">https://doi.org/10.1145/3592098</a>.
  ieee: S. Jeschke and C. Wojtan, “Generalizing shallow water simulations with dispersive
    surface waves,” <i>ACM Transactions on Graphics</i>, vol. 42, no. 4. Association
    for Computing Machinery, 2023.
  ista: Jeschke S, Wojtan C. 2023. Generalizing shallow water simulations with dispersive
    surface waves. ACM Transactions on Graphics. 42(4), 83.
  mla: Jeschke, Stefan, and Chris Wojtan. “Generalizing Shallow Water Simulations
    with Dispersive Surface Waves.” <i>ACM Transactions on Graphics</i>, vol. 42,
    no. 4, 83, Association for Computing Machinery, 2023, doi:<a href="https://doi.org/10.1145/3592098">10.1145/3592098</a>.
  short: S. Jeschke, C. Wojtan, ACM Transactions on Graphics 42 (2023).
corr_author: '1'
date_created: 2023-08-27T22:01:17Z
date_published: 2023-08-01T00:00:00Z
date_updated: 2025-04-14T08:01:13Z
day: '01'
ddc:
- '000'
department:
- _id: ChWo
doi: 10.1145/3592098
external_id:
  isi:
  - '001044671300049'
file:
- access_level: open_access
  checksum: 1d178bb2f8011d9f5aedda6427e18c7a
  content_type: video/mp4
  creator: sjeschke
  date_created: 2023-12-21T12:26:40Z
  date_updated: 2023-12-21T12:26:40Z
  file_id: '14704'
  file_name: PaperVideo_final.mp4
  file_size: 511572575
  relation: main_file
  success: 1
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  checksum: a49b2e744d5cd1276bb8b2e0ce6dc638
  content_type: application/pdf
  creator: dernst
  date_created: 2024-01-02T09:34:27Z
  date_updated: 2024-01-02T09:34:27Z
  file_id: '14725'
  file_name: 2023_ACMToG_Jeschke.pdf
  file_size: 7469177
  relation: main_file
  success: 1
file_date_updated: 2024-01-02T09:34:27Z
has_accepted_license: '1'
intvolume: '        42'
isi: 1
issue: '4'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
project:
- _id: 34bc2376-11ca-11ed-8bc3-9a3b3961a088
  grant_number: '101045083'
  name: Computational Discovery of Numerical Algorithms for Animation and Simulation
    of Natural Phenomena
publication: ACM Transactions on Graphics
publication_identifier:
  eissn:
  - 1557-7368
  issn:
  - 0730-0301
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
scopus_import: '1'
status: public
title: Generalizing shallow water simulations with dispersive surface waves
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 42
year: '2023'
...
---
_id: '8766'
abstract:
- lang: eng
  text: "The “procedural” approach to animating ocean waves is the dominant algorithm
    for animating larger bodies of water in\r\ninteractive applications as well as
    in off-line productions — it provides high visual quality with a low computational
    demand. In this paper, we widen the applicability of procedural water wave animation
    with an extension that guarantees the satisfaction of boundary conditions imposed
    by terrain while still approximating physical wave behavior. In combination with
    a particle system that models wave breaking, foam, and spray, this allows us to
    naturally model waves interacting with beaches and rocks. Our system is able to
    animate waves at large scales at interactive frame rates on a commodity PC."
article_processing_charge: No
article_type: original
author:
- first_name: Stefan
  full_name: Jeschke, Stefan
  id: 44D6411A-F248-11E8-B48F-1D18A9856A87
  last_name: Jeschke
- first_name: Christian
  full_name: Hafner, Christian
  id: 400429CC-F248-11E8-B48F-1D18A9856A87
  last_name: Hafner
- first_name: Nuttapong
  full_name: Chentanez, Nuttapong
  last_name: Chentanez
- first_name: Miles
  full_name: Macklin, Miles
  last_name: Macklin
- first_name: Matthias
  full_name: Müller-Fischer, Matthias
  last_name: Müller-Fischer
- first_name: Christopher J
  full_name: Wojtan, Christopher J
  id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87
  last_name: Wojtan
  orcid: 0000-0001-6646-5546
citation:
  ama: Jeschke S, Hafner C, Chentanez N, Macklin M, Müller-Fischer M, Wojtan C. Making
    procedural water waves boundary-aware. <i>Computer Graphics forum</i>. 2020;39(8):47-54.
    doi:<a href="https://doi.org/10.1111/cgf.14100">10.1111/cgf.14100</a>
  apa: 'Jeschke, S., Hafner, C., Chentanez, N., Macklin, M., Müller-Fischer, M., &#38;
    Wojtan, C. (2020). Making procedural water waves boundary-aware. <i>Computer Graphics
    Forum</i>. Online Symposium: Wiley. <a href="https://doi.org/10.1111/cgf.14100">https://doi.org/10.1111/cgf.14100</a>'
  chicago: Jeschke, Stefan, Christian Hafner, Nuttapong Chentanez, Miles Macklin,
    Matthias Müller-Fischer, and Chris Wojtan. “Making Procedural Water Waves Boundary-Aware.”
    <i>Computer Graphics Forum</i>. Wiley, 2020. <a href="https://doi.org/10.1111/cgf.14100">https://doi.org/10.1111/cgf.14100</a>.
  ieee: S. Jeschke, C. Hafner, N. Chentanez, M. Macklin, M. Müller-Fischer, and C.
    Wojtan, “Making procedural water waves boundary-aware,” <i>Computer Graphics forum</i>,
    vol. 39, no. 8. Wiley, pp. 47–54, 2020.
  ista: Jeschke S, Hafner C, Chentanez N, Macklin M, Müller-Fischer M, Wojtan C. 2020.
    Making procedural water waves boundary-aware. Computer Graphics forum. 39(8),
    47–54.
  mla: Jeschke, Stefan, et al. “Making Procedural Water Waves Boundary-Aware.” <i>Computer
    Graphics Forum</i>, vol. 39, no. 8, Wiley, 2020, pp. 47–54, doi:<a href="https://doi.org/10.1111/cgf.14100">10.1111/cgf.14100</a>.
  short: S. Jeschke, C. Hafner, N. Chentanez, M. Macklin, M. Müller-Fischer, C. Wojtan,
    Computer Graphics Forum 39 (2020) 47–54.
conference:
  end_date: 2020-10-09
  location: Online Symposium
  name: 'SCA: Symposium on Computer Animation'
  start_date: 2020-10-06
date_created: 2020-11-17T10:47:48Z
date_published: 2020-12-01T00:00:00Z
date_updated: 2024-10-22T09:58:15Z
day: '01'
department:
- _id: ChWo
- _id: BeBi
doi: 10.1111/cgf.14100
ec_funded: 1
external_id:
  isi:
  - '000591780400005'
intvolume: '        39'
isi: 1
issue: '8'
language:
- iso: eng
month: '12'
oa_version: None
page: 47-54
project:
- _id: 2533E772-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '638176'
  name: 'Big Splash: Efficient Simulation of Natural Phenomena at Extremely Large
    Scales'
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '715767'
  name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
    Modeling'
publication: Computer Graphics forum
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: Making procedural water waves boundary-aware
type: journal_article
user_id: 2EBD1598-F248-11E8-B48F-1D18A9856A87
volume: 39
year: '2020'
...
---
_id: '134'
abstract:
- lang: eng
  text: "The current state of the art in real-time two-dimensional water wave simulation
    requires developers to choose between efficient Fourier-based methods, which lack
    interactions with moving obstacles, and finite-difference or finite element methods,
    which handle environmental interactions but are significantly more expensive.
    This paper attempts to bridge this long-standing gap between complexity and performance,
    by proposing a new wave simulation method that can faithfully simulate wave interactions
    with moving obstacles in real time while simultaneously preserving minute details
    and accommodating very large simulation domains.\r\n\r\nPrevious methods for simulating
    2D water waves directly compute the change in height of the water surface, a strategy
    which imposes limitations based on the CFL condition (fast moving waves require
    small time steps) and Nyquist's limit (small wave details require closely-spaced
    simulation variables). This paper proposes a novel wavelet transformation that
    discretizes the liquid motion in terms of amplitude-like functions that vary over
    space, frequency, and direction, effectively generalizing Fourier-based methods
    to handle local interactions. Because these new variables change much more slowly
    over space than the original water height function, our change of variables drastically
    reduces the limitations of the CFL condition and Nyquist limit, allowing us to
    simulate highly detailed water waves at very large visual resolutions. Our discretization
    is amenable to fast summation and easy to parallelize. We also present basic extensions
    like pre-computed wave paths and two-way solid fluid coupling. Finally, we argue
    that our discretization provides a convenient set of variables for artistic manipulation,
    which we illustrate with a novel wave-painting interface."
acknowledged_ssus:
- _id: ScienComp
alternative_title:
- SIGGRAPH
article_number: '94'
article_processing_charge: No
author:
- first_name: Stefan
  full_name: Jeschke, Stefan
  id: 44D6411A-F248-11E8-B48F-1D18A9856A87
  last_name: Jeschke
- first_name: Tomas
  full_name: Skrivan, Tomas
  id: 486A5A46-F248-11E8-B48F-1D18A9856A87
  last_name: Skrivan
- first_name: Matthias
  full_name: Mueller Fischer, Matthias
  last_name: Mueller Fischer
- first_name: Nuttapong
  full_name: Chentanez, Nuttapong
  last_name: Chentanez
- first_name: Miles
  full_name: Macklin, Miles
  last_name: Macklin
- first_name: Christopher J
  full_name: Wojtan, Christopher J
  id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87
  last_name: Wojtan
  orcid: 0000-0001-6646-5546
citation:
  ama: Jeschke S, Skrivan T, Mueller Fischer M, Chentanez N, Macklin M, Wojtan C.
    Water surface wavelets. <i>ACM Transactions on Graphics</i>. 2018;37(4). doi:<a
    href="https://doi.org/10.1145/3197517.3201336">10.1145/3197517.3201336</a>
  apa: Jeschke, S., Skrivan, T., Mueller Fischer, M., Chentanez, N., Macklin, M.,
    &#38; Wojtan, C. (2018). Water surface wavelets. <i>ACM Transactions on Graphics</i>.
    ACM. <a href="https://doi.org/10.1145/3197517.3201336">https://doi.org/10.1145/3197517.3201336</a>
  chicago: Jeschke, Stefan, Tomas Skrivan, Matthias Mueller Fischer, Nuttapong Chentanez,
    Miles Macklin, and Chris Wojtan. “Water Surface Wavelets.” <i>ACM Transactions
    on Graphics</i>. ACM, 2018. <a href="https://doi.org/10.1145/3197517.3201336">https://doi.org/10.1145/3197517.3201336</a>.
  ieee: S. Jeschke, T. Skrivan, M. Mueller Fischer, N. Chentanez, M. Macklin, and
    C. Wojtan, “Water surface wavelets,” <i>ACM Transactions on Graphics</i>, vol.
    37, no. 4. ACM, 2018.
  ista: Jeschke S, Skrivan T, Mueller Fischer M, Chentanez N, Macklin M, Wojtan C.
    2018. Water surface wavelets. ACM Transactions on Graphics. 37(4), 94.
  mla: Jeschke, Stefan, et al. “Water Surface Wavelets.” <i>ACM Transactions on Graphics</i>,
    vol. 37, no. 4, 94, ACM, 2018, doi:<a href="https://doi.org/10.1145/3197517.3201336">10.1145/3197517.3201336</a>.
  short: S. Jeschke, T. Skrivan, M. Mueller Fischer, N. Chentanez, M. Macklin, C.
    Wojtan, ACM Transactions on Graphics 37 (2018).
date_created: 2018-12-11T11:44:48Z
date_published: 2018-07-30T00:00:00Z
date_updated: 2024-10-22T09:58:20Z
day: '30'
ddc:
- '000'
department:
- _id: ChWo
doi: 10.1145/3197517.3201336
ec_funded: 1
external_id:
  isi:
  - '000448185000055'
file:
- access_level: open_access
  checksum: db75ebabe2ec432bf41389e614d6ef62
  content_type: application/pdf
  creator: dernst
  date_created: 2018-12-18T09:59:23Z
  date_updated: 2020-07-14T12:44:45Z
  file_id: '5744'
  file_name: 2018_ACM_Jeschke.pdf
  file_size: 22185016
  relation: main_file
file_date_updated: 2020-07-14T12:44:45Z
has_accepted_license: '1'
intvolume: '        37'
isi: 1
issue: '4'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-sa/4.0/
month: '07'
oa: 1
oa_version: Published Version
project:
- _id: 2533E772-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '638176'
  name: 'Big Splash: Efficient Simulation of Natural Phenomena at Extremely Large
    Scales'
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '665385'
  name: International IST Doctoral Program
publication: ACM Transactions on Graphics
publication_status: published
publisher: ACM
publist_id: '7789'
quality_controlled: '1'
related_material:
  link:
  - description: News on IST Homepage
    relation: press_release
    url: https://ist.ac.at/en/news/new-water-simulation-captures-small-details-even-in-large-scenes/
scopus_import: '1'
status: public
title: Water surface wavelets
tmp:
  image: /images/cc_by_nc_sa.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC
    BY-NC-SA 4.0)
  short: CC BY-NC-SA (4.0)
type: journal_article
user_id: 2EBD1598-F248-11E8-B48F-1D18A9856A87
volume: 37
year: '2018'
...
---
_id: '470'
abstract:
- lang: eng
  text: This paper presents a method for simulating water surface waves as a displacement
    field on a 2D domain. Our method relies on Lagrangian particles that carry packets
    of water wave energy; each packet carries information about an entire group of
    wave trains, as opposed to only a single wave crest. Our approach is unconditionally
    stable and can simulate high resolution geometric details. This approach also
    presents a straightforward interface for artistic control, because it is essentially
    a particle system with intuitive parameters like wavelength and amplitude. Our
    implementation parallelizes well and runs in real time for moderately challenging
    scenarios.
acknowledged_ssus:
- _id: ScienComp
article_number: '103'
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Stefan
  full_name: Jeschke, Stefan
  id: 44D6411A-F248-11E8-B48F-1D18A9856A87
  last_name: Jeschke
- first_name: Christopher J
  full_name: Wojtan, Christopher J
  id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87
  last_name: Wojtan
  orcid: 0000-0001-6646-5546
citation:
  ama: Jeschke S, Wojtan C. Water wave packets. <i>ACM Transactions on Graphics</i>.
    2017;36(4). doi:<a href="https://doi.org/10.1145/3072959.3073678">10.1145/3072959.3073678</a>
  apa: Jeschke, S., &#38; Wojtan, C. (2017). Water wave packets. <i>ACM Transactions
    on Graphics</i>. ACM. <a href="https://doi.org/10.1145/3072959.3073678">https://doi.org/10.1145/3072959.3073678</a>
  chicago: Jeschke, Stefan, and Chris Wojtan. “Water Wave Packets.” <i>ACM Transactions
    on Graphics</i>. ACM, 2017. <a href="https://doi.org/10.1145/3072959.3073678">https://doi.org/10.1145/3072959.3073678</a>.
  ieee: S. Jeschke and C. Wojtan, “Water wave packets,” <i>ACM Transactions on Graphics</i>,
    vol. 36, no. 4. ACM, 2017.
  ista: Jeschke S, Wojtan C. 2017. Water wave packets. ACM Transactions on Graphics.
    36(4), 103.
  mla: Jeschke, Stefan, and Chris Wojtan. “Water Wave Packets.” <i>ACM Transactions
    on Graphics</i>, vol. 36, no. 4, 103, ACM, 2017, doi:<a href="https://doi.org/10.1145/3072959.3073678">10.1145/3072959.3073678</a>.
  short: S. Jeschke, C. Wojtan, ACM Transactions on Graphics 36 (2017).
date_created: 2018-12-11T11:46:39Z
date_published: 2017-07-01T00:00:00Z
date_updated: 2025-09-18T09:55:10Z
day: '01'
ddc:
- '006'
department:
- _id: ChWo
doi: 10.1145/3072959.3073678
ec_funded: 1
external_id:
  isi:
  - '000406432100071'
file:
- access_level: open_access
  checksum: 82a3b2bfeee4ddef16ecc21675d1a48a
  content_type: application/pdf
  creator: wojtan
  date_created: 2020-01-24T09:32:35Z
  date_updated: 2020-07-14T12:46:34Z
  file_id: '7359'
  file_name: wavepackets_final.pdf
  file_size: 13131683
  relation: main_file
file_date_updated: 2020-07-14T12:46:34Z
has_accepted_license: '1'
intvolume: '        36'
isi: 1
issue: '4'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
project:
- _id: 2533E772-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '638176'
  name: 'Big Splash: Efficient Simulation of Natural Phenomena at Extremely Large
    Scales'
publication: ACM Transactions on Graphics
publication_identifier:
  issn:
  - '07300301'
publication_status: published
publisher: ACM
publist_id: '7350'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Water wave packets
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 36
year: '2017'
...
---
_id: '1413'
abstract:
- lang: eng
  text: This paper generalizes the well-known Diffusion Curves Images (DCI), which
    are composed of a set of Bezier curves with colors specified on either side. These
    colors are diffused as Laplace functions over the image domain, which results
    in smooth color gradients interrupted by the Bezier curves. Our new formulation
    allows for more color control away from the boundary, providing a similar expressive
    power as recent Bilaplace image models without introducing associated issues and
    computational costs. The new model is based on a special Laplace function blending
    and a new edge blur formulation. We demonstrate that given some user-defined boundary
    curves over an input raster image, fitting colors and edge blur from the image
    to the new model and subsequent editing and animation is equally convenient as
    with DCIs. Numerous examples and comparisons to DCIs are presented.
article_processing_charge: No
author:
- first_name: Stefan
  full_name: Jeschke, Stefan
  id: 44D6411A-F248-11E8-B48F-1D18A9856A87
  last_name: Jeschke
citation:
  ama: 'Jeschke S. Generalized diffusion curves: An improved vector representation
    for smooth-shaded images. <i>Computer Graphics Forum</i>. 2016;35(2):71-79. doi:<a
    href="https://doi.org/10.1111/cgf.12812">10.1111/cgf.12812</a>'
  apa: 'Jeschke, S. (2016). Generalized diffusion curves: An improved vector representation
    for smooth-shaded images. <i>Computer Graphics Forum</i>. Wiley-Blackwell. <a
    href="https://doi.org/10.1111/cgf.12812">https://doi.org/10.1111/cgf.12812</a>'
  chicago: 'Jeschke, Stefan. “Generalized Diffusion Curves: An Improved Vector Representation
    for Smooth-Shaded Images.” <i>Computer Graphics Forum</i>. Wiley-Blackwell, 2016.
    <a href="https://doi.org/10.1111/cgf.12812">https://doi.org/10.1111/cgf.12812</a>.'
  ieee: 'S. Jeschke, “Generalized diffusion curves: An improved vector representation
    for smooth-shaded images,” <i>Computer Graphics Forum</i>, vol. 35, no. 2. Wiley-Blackwell,
    pp. 71–79, 2016.'
  ista: 'Jeschke S. 2016. Generalized diffusion curves: An improved vector representation
    for smooth-shaded images. Computer Graphics Forum. 35(2), 71–79.'
  mla: 'Jeschke, Stefan. “Generalized Diffusion Curves: An Improved Vector Representation
    for Smooth-Shaded Images.” <i>Computer Graphics Forum</i>, vol. 35, no. 2, Wiley-Blackwell,
    2016, pp. 71–79, doi:<a href="https://doi.org/10.1111/cgf.12812">10.1111/cgf.12812</a>.'
  short: S. Jeschke, Computer Graphics Forum 35 (2016) 71–79.
corr_author: '1'
date_created: 2018-12-11T11:51:53Z
date_published: 2016-05-01T00:00:00Z
date_updated: 2025-09-18T14:25:33Z
day: '01'
department:
- _id: ChWo
doi: 10.1111/cgf.12812
external_id:
  isi:
  - '000377222200008'
intvolume: '        35'
isi: 1
issue: '2'
language:
- iso: eng
month: '05'
oa_version: None
page: 71 - 79
project:
- _id: 25357BD2-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: P 24352-N23
  name: 'Deep Pictures: Creating Visual and Haptic Vector Images'
publication: Computer Graphics Forum
publication_status: published
publisher: Wiley-Blackwell
publist_id: '5794'
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Generalized diffusion curves: An improved vector representation for smooth-shaded
  images'
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 35
year: '2016'
...
---
_id: '1814'
abstract:
- lang: eng
  text: 'We present an efficient wavefront tracking algorithm for animating bodies
    of water that interact with their environment. Our contributions include: a novel
    wavefront tracking technique that enables dispersion, refraction, reflection,
    and diffraction in the same simulation; a unique multivalued function interpolation
    method that enables our simulations to elegantly sidestep the Nyquist limit; a
    dispersion approximation for efficiently amplifying the number of simulated waves
    by several orders of magnitude; and additional extensions that allow for time-dependent
    effects and interactive artistic editing of the resulting animation. Our contributions
    combine to give us multitudes more wave details than similar algorithms, while
    maintaining high frame rates and allowing close camera zooms.'
article_number: '27'
article_processing_charge: No
author:
- first_name: Stefan
  full_name: Jeschke, Stefan
  id: 44D6411A-F248-11E8-B48F-1D18A9856A87
  last_name: Jeschke
- first_name: Christopher J
  full_name: Wojtan, Christopher J
  id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87
  last_name: Wojtan
  orcid: 0000-0001-6646-5546
citation:
  ama: Jeschke S, Wojtan C. Water wave animation via wavefront parameter interpolation.
    <i>ACM Transactions on Graphics</i>. 2015;34(3). doi:<a href="https://doi.org/10.1145/2714572">10.1145/2714572</a>
  apa: Jeschke, S., &#38; Wojtan, C. (2015). Water wave animation via wavefront parameter
    interpolation. <i>ACM Transactions on Graphics</i>. ACM. <a href="https://doi.org/10.1145/2714572">https://doi.org/10.1145/2714572</a>
  chicago: Jeschke, Stefan, and Chris Wojtan. “Water Wave Animation via Wavefront
    Parameter Interpolation.” <i>ACM Transactions on Graphics</i>. ACM, 2015. <a href="https://doi.org/10.1145/2714572">https://doi.org/10.1145/2714572</a>.
  ieee: S. Jeschke and C. Wojtan, “Water wave animation via wavefront parameter interpolation,”
    <i>ACM Transactions on Graphics</i>, vol. 34, no. 3. ACM, 2015.
  ista: Jeschke S, Wojtan C. 2015. Water wave animation via wavefront parameter interpolation.
    ACM Transactions on Graphics. 34(3), 27.
  mla: Jeschke, Stefan, and Chris Wojtan. “Water Wave Animation via Wavefront Parameter
    Interpolation.” <i>ACM Transactions on Graphics</i>, vol. 34, no. 3, 27, ACM,
    2015, doi:<a href="https://doi.org/10.1145/2714572">10.1145/2714572</a>.
  short: S. Jeschke, C. Wojtan, ACM Transactions on Graphics 34 (2015).
corr_author: '1'
date_created: 2018-12-11T11:54:09Z
date_published: 2015-04-01T00:00:00Z
date_updated: 2025-09-29T11:05:55Z
day: '01'
ddc:
- '000'
department:
- _id: ChWo
doi: 10.1145/2714572
ec_funded: 1
external_id:
  isi:
  - '000354800700004'
file:
- access_level: open_access
  checksum: 67c9f4fa370def68cdf31299e48bc91f
  content_type: application/pdf
  creator: system
  date_created: 2018-12-12T10:12:15Z
  date_updated: 2020-07-14T12:45:17Z
  file_id: '4933'
  file_name: IST-2016-575-v1+1_wavefront_preprint.pdf
  file_size: 23712153
  relation: main_file
file_date_updated: 2020-07-14T12:45:17Z
has_accepted_license: '1'
intvolume: '        34'
isi: 1
issue: '3'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Submitted Version
project:
- _id: 25357BD2-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: P 24352-N23
  name: 'Deep Pictures: Creating Visual and Haptic Vector Images'
- _id: 2533E772-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '638176'
  name: 'Big Splash: Efficient Simulation of Natural Phenomena at Extremely Large
    Scales'
publication: ACM Transactions on Graphics
publication_status: published
publisher: ACM
publist_id: '5292'
pubrep_id: '575'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Water wave animation via wavefront parameter interpolation
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 34
year: '2015'
...
---
_id: '1630'
abstract:
- lang: eng
  text: We present a method to learn and propagate shape placements in 2D polygonal
    scenes from a few examples provided by a user. The placement of a shape is modeled
    as an oriented bounding box. Simple geometric relationships between this bounding
    box and nearby scene polygons define a feature set for the placement. The feature
    sets of all example placements are then used to learn a probabilistic model over
    all possible placements and scenes. With this model, we can generate a new set
    of placements with similar geometric relationships in any given scene. We introduce
    extensions that enable propagation and generation of shapes in 3D    scenes, as
    well as the application of a learned modeling session to large scenes without
    additional user interaction. These concepts allow us to generate complex scenes
    with thousands of objects with relatively little user interaction.
acknowledgement: This publication is based upon work supported by the KAUST Office
  of Competitive Research Funds (OCRF) under Award No. 62140401, the KAUST Visual
  Computing Center and the Austrian Science Fund (FWF) projects DEEP PICTURES (no.
  P24352-N23) and Data-Driven Procedural Modeling of Interiors (no. P24600-N23).
article_number: '108'
article_processing_charge: No
author:
- first_name: Paul
  full_name: Guerrero, Paul
  last_name: Guerrero
- first_name: Stefan
  full_name: Jeschke, Stefan
  id: 44D6411A-F248-11E8-B48F-1D18A9856A87
  last_name: Jeschke
- first_name: Michael
  full_name: Wimmer, Michael
  last_name: Wimmer
- first_name: Peter
  full_name: Wonka, Peter
  last_name: Wonka
citation:
  ama: 'Guerrero P, Jeschke S, Wimmer M, Wonka P. Learning shape placements by example.
    In: Vol 34. ACM; 2015. doi:<a href="https://doi.org/10.1145/2766933">10.1145/2766933</a>'
  apa: 'Guerrero, P., Jeschke, S., Wimmer, M., &#38; Wonka, P. (2015). Learning shape
    placements by example (Vol. 34). Presented at the SIGGRAPH: Special Interest Group
    on Computer Graphics and Interactive Techniques, Los Angeles, CA, United States:
    ACM. <a href="https://doi.org/10.1145/2766933">https://doi.org/10.1145/2766933</a>'
  chicago: Guerrero, Paul, Stefan Jeschke, Michael Wimmer, and Peter Wonka. “Learning
    Shape Placements by Example,” Vol. 34. ACM, 2015. <a href="https://doi.org/10.1145/2766933">https://doi.org/10.1145/2766933</a>.
  ieee: 'P. Guerrero, S. Jeschke, M. Wimmer, and P. Wonka, “Learning shape placements
    by example,” presented at the SIGGRAPH: Special Interest Group on Computer Graphics
    and Interactive Techniques, Los Angeles, CA, United States, 2015, vol. 34, no.
    4.'
  ista: 'Guerrero P, Jeschke S, Wimmer M, Wonka P. 2015. Learning shape placements
    by example. SIGGRAPH: Special Interest Group on Computer Graphics and Interactive
    Techniques vol. 34, 108.'
  mla: Guerrero, Paul, et al. <i>Learning Shape Placements by Example</i>. Vol. 34,
    no. 4, 108, ACM, 2015, doi:<a href="https://doi.org/10.1145/2766933">10.1145/2766933</a>.
  short: P. Guerrero, S. Jeschke, M. Wimmer, P. Wonka, in:, ACM, 2015.
conference:
  end_date: 2015-08-13
  location: Los Angeles, CA, United States
  name: 'SIGGRAPH: Special Interest Group on Computer Graphics and Interactive Techniques'
  start_date: 2015-08-09
date_created: 2018-12-11T11:53:08Z
date_published: 2015-07-27T00:00:00Z
date_updated: 2025-09-23T09:26:17Z
day: '27'
ddc:
- '000'
department:
- _id: ChWo
doi: 10.1145/2766933
external_id:
  isi:
  - '000358786600074'
file:
- access_level: open_access
  checksum: 8b05a51e372c9b0b5af9a00098a9538b
  content_type: application/pdf
  creator: system
  date_created: 2018-12-12T10:07:49Z
  date_updated: 2020-07-14T12:45:07Z
  file_id: '4647'
  file_name: IST-2016-576-v1+1_guerrero-2015-lsp-paper.pdf
  file_size: 11902290
  relation: main_file
file_date_updated: 2020-07-14T12:45:07Z
has_accepted_license: '1'
intvolume: '        34'
isi: 1
issue: '4'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Submitted Version
project:
- _id: 25357BD2-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: P 24352-N23
  name: 'Deep Pictures: Creating Visual and Haptic Vector Images'
publication_status: published
publisher: ACM
publist_id: '5525'
pubrep_id: '576'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Learning shape placements by example
type: conference
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 34
year: '2015'
...
---
_id: '1854'
abstract:
- lang: eng
  text: In this paper, we present a method for non-rigid, partial shape matching in
    vector graphics. Given a user-specified query region in a 2D shape, similar regions
    are found, even if they are non-linearly distorted. Furthermore, a non-linear
    mapping is established between the query regions and these matches, which allows
    the automatic transfer of editing operations such as texturing. This is achieved
    by a two-step approach. First, pointwise correspondences between the query region
    and the whole shape are established. The transformation parameters of these correspondences
    are registered in an appropriate transformation space. For transformations between
    similar regions, these parameters form surfaces in transformation space, which
    are extracted in the second step of our method. The extracted regions may be related
    to the query region by a non-rigid transform, enabling non-rigid shape matching.
    In this paper, we present a method for non-rigid, partial shape matching in vector
    graphics. Given a user-specified query region in a 2D shape, similar regions are
    found, even if they are non-linearly distorted. Furthermore, a non-linear mapping
    is established between the query regions and these matches, which allows the automatic
    transfer of editing operations such as texturing. This is achieved by a two-step
    approach. First, pointwise correspondences between the query region and the whole
    shape are established. The transformation parameters of these correspondences
    are registered in an appropriate transformation space. For transformations between
    similar regions, these parameters form surfaces in transformation space, which
    are extracted in the second step of our method. The extracted regions may be related
    to the query region by a non-rigid transform, enabling non-rigid shape matching.
article_processing_charge: No
author:
- first_name: Paul
  full_name: Guerrero, Paul
  last_name: Guerrero
- first_name: Thomas
  full_name: Auzinger, Thomas
  id: 4718F954-F248-11E8-B48F-1D18A9856A87
  last_name: Auzinger
  orcid: 0000-0002-1546-3265
- first_name: Michael
  full_name: Wimmer, Michael
  last_name: Wimmer
- first_name: Stefan
  full_name: Jeschke, Stefan
  id: 44D6411A-F248-11E8-B48F-1D18A9856A87
  last_name: Jeschke
citation:
  ama: Guerrero P, Auzinger T, Wimmer M, Jeschke S. Partial shape matching using transformation
    parameter similarity. <i>Computer Graphics Forum</i>. 2014;34(1):239-252. doi:<a
    href="https://doi.org/10.1111/cgf.12509">10.1111/cgf.12509</a>
  apa: Guerrero, P., Auzinger, T., Wimmer, M., &#38; Jeschke, S. (2014). Partial shape
    matching using transformation parameter similarity. <i>Computer Graphics Forum</i>.
    Wiley. <a href="https://doi.org/10.1111/cgf.12509">https://doi.org/10.1111/cgf.12509</a>
  chicago: Guerrero, Paul, Thomas Auzinger, Michael Wimmer, and Stefan Jeschke. “Partial
    Shape Matching Using Transformation Parameter Similarity.” <i>Computer Graphics
    Forum</i>. Wiley, 2014. <a href="https://doi.org/10.1111/cgf.12509">https://doi.org/10.1111/cgf.12509</a>.
  ieee: P. Guerrero, T. Auzinger, M. Wimmer, and S. Jeschke, “Partial shape matching
    using transformation parameter similarity,” <i>Computer Graphics Forum</i>, vol.
    34, no. 1. Wiley, pp. 239–252, 2014.
  ista: Guerrero P, Auzinger T, Wimmer M, Jeschke S. 2014. Partial shape matching
    using transformation parameter similarity. Computer Graphics Forum. 34(1), 239–252.
  mla: Guerrero, Paul, et al. “Partial Shape Matching Using Transformation Parameter
    Similarity.” <i>Computer Graphics Forum</i>, vol. 34, no. 1, Wiley, 2014, pp.
    239–52, doi:<a href="https://doi.org/10.1111/cgf.12509">10.1111/cgf.12509</a>.
  short: P. Guerrero, T. Auzinger, M. Wimmer, S. Jeschke, Computer Graphics Forum
    34 (2014) 239–252.
date_created: 2018-12-11T11:54:22Z
date_published: 2014-11-05T00:00:00Z
date_updated: 2025-09-23T09:47:49Z
day: '05'
ddc:
- '000'
department:
- _id: ChWo
doi: 10.1111/cgf.12509
external_id:
  isi:
  - '000350145600019'
file:
- access_level: open_access
  checksum: 91946bfc509c77f5fd3151a3ff2b2c8f
  content_type: application/pdf
  creator: system
  date_created: 2018-12-12T10:15:58Z
  date_updated: 2020-07-14T12:45:19Z
  file_id: '5182'
  file_name: IST-2016-574-v1+1_Guerrero-2014-TPS-paper.pdf
  file_size: 24817484
  relation: main_file
file_date_updated: 2020-07-14T12:45:19Z
has_accepted_license: '1'
intvolume: '        34'
isi: 1
issue: '1'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Submitted Version
page: 239 - 252
publication: Computer Graphics Forum
publication_status: published
publisher: Wiley
publist_id: '5246'
pubrep_id: '574'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Partial shape matching using transformation parameter similarity
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 34
year: '2014'
...
---
_id: '1906'
abstract:
- lang: eng
  text: In this paper, we introduce a novel scene representation for the visualization
    of large-scale point clouds accompanied by a set of high-resolution photographs.
    Many real-world applications deal with very densely sampled point-cloud data,
    which are augmented with photographs that often reveal lighting variations and
    inaccuracies in registration. Consequently, the high-quality representation of
    the captured data, i.e., both point clouds and photographs together, is a challenging
    and time-consuming task. We propose a two-phase approach, in which the first (preprocessing)
    phase generates multiple overlapping surface patches and handles the problem of
    seamless texture generation locally for each patch. The second phase stitches
    these patches at render-time to produce a high-quality visualization of the data.
    As a result of the proposed localization of the global texturing problem, our
    algorithm is more than an order of magnitude faster than equivalent mesh-based
    texturing techniques. Furthermore, since our preprocessing phase requires only
    a minor fraction of the whole data set at once, we provide maximum flexibility
    when dealing with growing data sets.
acknowledgement: This research was supported by the Austrian Research Promotion Agency
  (FFG) project REPLICATE (no. 835948), the EU FP7 project HARVEST4D (no. 323567).
article_processing_charge: No
author:
- first_name: Murat
  full_name: Arikan, Murat
  last_name: Arikan
- first_name: Reinhold
  full_name: Preiner, Reinhold
  last_name: Preiner
- first_name: Claus
  full_name: Scheiblauer, Claus
  last_name: Scheiblauer
- first_name: Stefan
  full_name: Jeschke, Stefan
  id: 44D6411A-F248-11E8-B48F-1D18A9856A87
  last_name: Jeschke
- first_name: Michael
  full_name: Wimmer, Michael
  last_name: Wimmer
citation:
  ama: Arikan M, Preiner R, Scheiblauer C, Jeschke S, Wimmer M. Large-scale point-cloud
    visualization through localized textured surface reconstruction. <i>IEEE Transactions
    on Visualization and Computer Graphics</i>. 2014;20(9):1280-1292. doi:<a href="https://doi.org/10.1109/TVCG.2014.2312011">10.1109/TVCG.2014.2312011</a>
  apa: Arikan, M., Preiner, R., Scheiblauer, C., Jeschke, S., &#38; Wimmer, M. (2014).
    Large-scale point-cloud visualization through localized textured surface reconstruction.
    <i>IEEE Transactions on Visualization and Computer Graphics</i>. IEEE. <a href="https://doi.org/10.1109/TVCG.2014.2312011">https://doi.org/10.1109/TVCG.2014.2312011</a>
  chicago: Arikan, Murat, Reinhold Preiner, Claus Scheiblauer, Stefan Jeschke, and
    Michael Wimmer. “Large-Scale Point-Cloud Visualization through Localized Textured
    Surface Reconstruction.” <i>IEEE Transactions on Visualization and Computer Graphics</i>.
    IEEE, 2014. <a href="https://doi.org/10.1109/TVCG.2014.2312011">https://doi.org/10.1109/TVCG.2014.2312011</a>.
  ieee: M. Arikan, R. Preiner, C. Scheiblauer, S. Jeschke, and M. Wimmer, “Large-scale
    point-cloud visualization through localized textured surface reconstruction,”
    <i>IEEE Transactions on Visualization and Computer Graphics</i>, vol. 20, no.
    9. IEEE, pp. 1280–1292, 2014.
  ista: Arikan M, Preiner R, Scheiblauer C, Jeschke S, Wimmer M. 2014. Large-scale
    point-cloud visualization through localized textured surface reconstruction. IEEE
    Transactions on Visualization and Computer Graphics. 20(9), 1280–1292.
  mla: Arikan, Murat, et al. “Large-Scale Point-Cloud Visualization through Localized
    Textured Surface Reconstruction.” <i>IEEE Transactions on Visualization and Computer
    Graphics</i>, vol. 20, no. 9, IEEE, 2014, pp. 1280–92, doi:<a href="https://doi.org/10.1109/TVCG.2014.2312011">10.1109/TVCG.2014.2312011</a>.
  short: M. Arikan, R. Preiner, C. Scheiblauer, S. Jeschke, M. Wimmer, IEEE Transactions
    on Visualization and Computer Graphics 20 (2014) 1280–1292.
date_created: 2018-12-11T11:54:39Z
date_published: 2014-09-09T00:00:00Z
date_updated: 2025-09-29T12:27:48Z
day: '09'
ddc:
- '000'
department:
- _id: ChWo
doi: 10.1109/TVCG.2014.2312011
external_id:
  isi:
  - '000341566500006'
file:
- access_level: open_access
  checksum: 5bf58942d2eb20adf03c7f9ea2e68124
  content_type: application/pdf
  creator: system
  date_created: 2018-12-12T10:17:41Z
  date_updated: 2020-07-14T12:45:20Z
  file_id: '5297'
  file_name: IST-2016-573-v1+1_arikan-2014-pcvis-draft.pdf
  file_size: 13594598
  relation: main_file
file_date_updated: 2020-07-14T12:45:20Z
has_accepted_license: '1'
intvolume: '        20'
isi: 1
issue: '9'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Submitted Version
page: 1280 - 1292
project:
- _id: 25357BD2-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: P 24352-N23
  name: 'Deep Pictures: Creating Visual and Haptic Vector Images'
publication: IEEE Transactions on Visualization and Computer Graphics
publication_status: published
publisher: IEEE
publist_id: '5189'
pubrep_id: '573'
scopus_import: '1'
status: public
title: Large-scale point-cloud visualization through localized textured surface reconstruction
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 20
year: '2014'
...
---
_id: '1629'
abstract:
- lang: eng
  text: We propose a method for propagating edit operations in 2D vector graphics,
    based on geometric relationship functions. These functions quantify the geometric
    relationship of a point to a polygon, such as the distance to the boundary or
    the direction to the closest corner vertex. The level sets of the relationship
    functions describe points with the same relationship to a polygon. For a given
    query point, we first determine a set of relationships to local features, construct
    all level sets for these relationships, and accumulate them. The maxima of the
    resulting distribution are points with similar geometric relationships. We show
    extensions to handle mirror symmetries, and discuss the use of relationship functions
    as local coordinate systems. Our method can be applied, for example, to interactive
    floorplan editing, and it is especially useful for large layouts, where individual
    edits would be cumbersome. We demonstrate populating 2D layouts with tens to hundreds
    of objects by propagating relatively few edit operations.
article_number: '15'
article_processing_charge: No
author:
- first_name: Paul
  full_name: Guerrero, Paul
  last_name: Guerrero
- first_name: Stefan
  full_name: Jeschke, Stefan
  id: 44D6411A-F248-11E8-B48F-1D18A9856A87
  last_name: Jeschke
- first_name: Michael
  full_name: Wimmer, Michael
  last_name: Wimmer
- first_name: Peter
  full_name: Wonka, Peter
  last_name: Wonka
citation:
  ama: Guerrero P, Jeschke S, Wimmer M, Wonka P. Edit propagation using geometric
    relationship functions. <i>ACM Transactions on Graphics</i>. 2014;33(2). doi:<a
    href="https://doi.org/10.1145/2591010">10.1145/2591010</a>
  apa: Guerrero, P., Jeschke, S., Wimmer, M., &#38; Wonka, P. (2014). Edit propagation
    using geometric relationship functions. <i>ACM Transactions on Graphics</i>. ACM.
    <a href="https://doi.org/10.1145/2591010">https://doi.org/10.1145/2591010</a>
  chicago: Guerrero, Paul, Stefan Jeschke, Michael Wimmer, and Peter Wonka. “Edit
    Propagation Using Geometric Relationship Functions.” <i>ACM Transactions on Graphics</i>.
    ACM, 2014. <a href="https://doi.org/10.1145/2591010">https://doi.org/10.1145/2591010</a>.
  ieee: P. Guerrero, S. Jeschke, M. Wimmer, and P. Wonka, “Edit propagation using
    geometric relationship functions,” <i>ACM Transactions on Graphics</i>, vol. 33,
    no. 2. ACM, 2014.
  ista: Guerrero P, Jeschke S, Wimmer M, Wonka P. 2014. Edit propagation using geometric
    relationship functions. ACM Transactions on Graphics. 33(2), 15.
  mla: Guerrero, Paul, et al. “Edit Propagation Using Geometric Relationship Functions.”
    <i>ACM Transactions on Graphics</i>, vol. 33, no. 2, 15, ACM, 2014, doi:<a href="https://doi.org/10.1145/2591010">10.1145/2591010</a>.
  short: P. Guerrero, S. Jeschke, M. Wimmer, P. Wonka, ACM Transactions on Graphics
    33 (2014).
date_created: 2018-12-11T11:53:08Z
date_published: 2014-03-01T00:00:00Z
date_updated: 2025-09-29T13:16:25Z
day: '01'
ddc:
- '000'
department:
- _id: ChWo
doi: 10.1145/2591010
external_id:
  isi:
  - '000335009900003'
file:
- access_level: open_access
  checksum: 7f91e588a4e888610313b98271e6418e
  content_type: application/pdf
  creator: system
  date_created: 2018-12-12T10:11:22Z
  date_updated: 2020-07-14T12:45:07Z
  file_id: '4876'
  file_name: IST-2016-577-v1+1_2014.TOG.Paul.EditingPropagation.final.pdf
  file_size: 9832561
  relation: main_file
file_date_updated: 2020-07-14T12:45:07Z
has_accepted_license: '1'
intvolume: '        33'
isi: 1
issue: '2'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Submitted Version
publication: ACM Transactions on Graphics
publication_status: published
publisher: ACM
publist_id: '5526'
pubrep_id: '577'
quality_controlled: '1'
status: public
title: Edit propagation using geometric relationship functions
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 33
year: '2014'
...
---
_id: '2269'
abstract:
- lang: eng
  text: This paper presents a parallel, implementation-friendly analytic visibility
    method for triangular meshes. Together with an analytic filter convolution, it
    allows for a fully analytic solution to anti-aliased 3D mesh rendering on parallel
    hardware. Building on recent works in computational geometry, we present a new
    edge-triangle intersection algorithm and a novel method to complete the boundaries
    of all visible triangle regions after a hidden line elimination step. All stages
    of the method are embarrassingly parallel and easily implementable on parallel
    hardware. A GPU implementation is discussed and performance characteristics of
    the method are shown and compared to traditional sampling-based rendering methods.
acknowledgement: "Funding was provided by the FWF grant P20768-N13.\nWe want to thank
  the reviewers for their insightful and helpful remarks and Gernot Ziegler for providing
  help with CUDA. "
author:
- first_name: Thomas
  full_name: Thomas Auzinger
  id: 4718F954-F248-11E8-B48F-1D18A9856A87
  last_name: Auzinger
  orcid: 0000-0002-1546-3265
- first_name: Michael
  full_name: Wimmer, Michael
  last_name: Wimmer
- first_name: Stefan
  full_name: Stefan Jeschke
  id: 44D6411A-F248-11E8-B48F-1D18A9856A87
  last_name: Jeschke
citation:
  ama: 'Auzinger T, Wimmer M, Jeschke S. Analytic Visibility on the GPU. <i>Computer
    Graphics Forum</i>. 2013;32(124):409-418. doi:<a href="https://doi.org/DOI: 10.1111/cgf.12061">DOI:
    10.1111/cgf.12061</a>'
  apa: 'Auzinger, T., Wimmer, M., &#38; Jeschke, S. (2013). Analytic Visibility on
    the GPU. <i>Computer Graphics Forum</i>. Wiley-Blackwell. <a href="https://doi.org/DOI:
    10.1111/cgf.12061">https://doi.org/DOI: 10.1111/cgf.12061</a>'
  chicago: 'Auzinger, Thomas, Michael Wimmer, and Stefan Jeschke. “Analytic Visibility
    on the GPU.” <i>Computer Graphics Forum</i>. Wiley-Blackwell, 2013. <a href="https://doi.org/DOI:
    10.1111/cgf.12061">https://doi.org/DOI: 10.1111/cgf.12061</a>.'
  ieee: T. Auzinger, M. Wimmer, and S. Jeschke, “Analytic Visibility on the GPU,”
    <i>Computer Graphics Forum</i>, vol. 32, no. 124. Wiley-Blackwell, pp. 409–418,
    2013.
  ista: Auzinger T, Wimmer M, Jeschke S. 2013. Analytic Visibility on the GPU. Computer
    Graphics Forum. 32(124), 409–418.
  mla: 'Auzinger, Thomas, et al. “Analytic Visibility on the GPU.” <i>Computer Graphics
    Forum</i>, vol. 32, no. 124, Wiley-Blackwell, 2013, pp. 409–18, doi:<a href="https://doi.org/DOI:
    10.1111/cgf.12061">DOI: 10.1111/cgf.12061</a>.'
  short: T. Auzinger, M. Wimmer, S. Jeschke, Computer Graphics Forum 32 (2013) 409–418.
date_created: 2018-12-11T11:56:40Z
date_published: 2013-05-06T00:00:00Z
date_updated: 2021-01-12T06:56:25Z
day: '06'
doi: 'DOI: 10.1111/cgf.12061'
extern: 1
intvolume: '        32'
issue: 124
month: '05'
page: 409 - 418
publication: Computer Graphics Forum
publication_status: published
publisher: Wiley-Blackwell
publist_id: '4675'
quality_controlled: 0
status: public
title: Analytic Visibility on the GPU
type: journal_article
volume: 32
year: '2013'
...
---
_id: '2267'
abstract:
- lang: eng
  text: 'Capturing real-world objects with laser-scanning technology has become an
    everyday task. Recently, the acquisition of dynamic scenes at interactive frame
    rates has become feasible. A high-quality visualization of the resulting point
    cloud stream would require a per-frame reconstruction of object surfaces. Unfortunately,
    reconstruction computations are still too time-consuming to be applied interactively.
    In this paper we present a local surface reconstruction and visualization technique
    that provides interactive feedback for reasonably sized point clouds, while achieving
    high image quality. Our method is performed entirely on the GPU and in screen
    pace, exploiting the efficiency of the common rasterization pipeline. The approach
    is very general, as no assumption is made about point connectivity or sampling
    density. This naturally allows combining the outputs of multiple scanners in a
    single visualization, which is useful for many virtual and augmented reality applications. '
author:
- first_name: Reinhold
  full_name: Preiner, Reinhold
  last_name: Preiner
- first_name: Stefan
  full_name: Jeschke, Stefan
  id: 44D6411A-F248-11E8-B48F-1D18A9856A87
  last_name: Jeschke
- first_name: Michael
  full_name: Wimmer, Michael
  last_name: Wimmer
citation:
  ama: 'Preiner R, Jeschke S, Wimmer M. Auto splats: Dynamic point cloud visualization
    on the GPU. In: Eurographics Association; 2012:139-148. doi:<a href="https://doi.org/10.2312/EGPGV/EGPGV12/139-148">10.2312/EGPGV/EGPGV12/139-148</a>'
  apa: 'Preiner, R., Jeschke, S., &#38; Wimmer, M. (2012). Auto splats: Dynamic point
    cloud visualization on the GPU (pp. 139–148). Presented at the EGPGV: Eurographics
    Symposium on Parallel Graphics and Visualization, Calgari, Italy: Eurographics
    Association. <a href="https://doi.org/10.2312/EGPGV/EGPGV12/139-148">https://doi.org/10.2312/EGPGV/EGPGV12/139-148</a>'
  chicago: 'Preiner, Reinhold, Stefan Jeschke, and Michael Wimmer. “Auto Splats: Dynamic
    Point Cloud Visualization on the GPU,” 139–48. Eurographics Association, 2012.
    <a href="https://doi.org/10.2312/EGPGV/EGPGV12/139-148">https://doi.org/10.2312/EGPGV/EGPGV12/139-148</a>.'
  ieee: 'R. Preiner, S. Jeschke, and M. Wimmer, “Auto splats: Dynamic point cloud
    visualization on the GPU,” presented at the EGPGV: Eurographics Symposium on Parallel
    Graphics and Visualization, Calgari, Italy, 2012, pp. 139–148.'
  ista: 'Preiner R, Jeschke S, Wimmer M. 2012. Auto splats: Dynamic point cloud visualization
    on the GPU. EGPGV: Eurographics Symposium on Parallel Graphics and Visualization,
    139–148.'
  mla: 'Preiner, Reinhold, et al. <i>Auto Splats: Dynamic Point Cloud Visualization
    on the GPU</i>. Eurographics Association, 2012, pp. 139–48, doi:<a href="https://doi.org/10.2312/EGPGV/EGPGV12/139-148">10.2312/EGPGV/EGPGV12/139-148</a>.'
  short: R. Preiner, S. Jeschke, M. Wimmer, in:, Eurographics Association, 2012, pp.
    139–148.
conference:
  end_date: 2012-05-14
  location: Calgari, Italy
  name: 'EGPGV: Eurographics Symposium on Parallel Graphics and Visualization'
  start_date: 2012-05-13
date_created: 2018-12-11T11:56:40Z
date_published: 2012-05-13T00:00:00Z
date_updated: 2021-01-12T06:56:24Z
day: '13'
ddc:
- '000'
doi: 10.2312/EGPGV/EGPGV12/139-148
extern: '1'
file:
- access_level: open_access
  checksum: 5495bb6ee8662cd401b34afb04dfb40f
  content_type: application/pdf
  creator: system
  date_created: 2018-12-12T10:11:13Z
  date_updated: 2020-07-14T12:45:35Z
  file_id: '4866'
  file_name: IST-2016-572-v1+1_preiner_2012_AS-draft.pdf
  file_size: 14903860
  relation: main_file
file_date_updated: 2020-07-14T12:45:35Z
has_accepted_license: '1'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Submitted Version
page: 139 - 148
publication_status: published
publisher: Eurographics Association
publist_id: '4677'
pubrep_id: '572'
quality_controlled: '1'
status: public
title: 'Auto splats: Dynamic point cloud visualization on the GPU'
type: conference
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
year: '2012'
...
---
_id: '2268'
abstract:
- lang: eng
  text: 'This paper presents an analytic formulation for anti-aliased sampling of
    2D polygons and 3D polyhedra. Our framework allows the exact evaluation of the
    convolution integral with a linear function defined on the polytopes. The filter
    is a spherically symmetric polynomial of any order, supporting approximations
    to refined variants such as the Mitchell-Netravali filter family. This enables
    high-quality rasterization of triangles and tetrahedra with linearly interpolated
    vertex values to regular and non-regular grids. A closed form solution of the
    convolution is presented and an efficient implementation on the GPU using DirectX
    and CUDA C is described. '
acknowledgement: |-
  Funding was provided by the FWF grant P20768-N13.
  We want to thank the reviewers for their insightful and helpful remarks, Hang Si for making available TetGen and Stefan Bruckner for VolumeShop.
alternative_title:
- Computer Graphics Forum
author:
- first_name: Thomas
  full_name: Thomas Auzinger
  id: 4718F954-F248-11E8-B48F-1D18A9856A87
  last_name: Auzinger
  orcid: 0000-0002-1546-3265
- first_name: Michael
  full_name: Guthe, Michael
  last_name: Guthe
- first_name: Stefan
  full_name: Stefan Jeschke
  id: 44D6411A-F248-11E8-B48F-1D18A9856A87
  last_name: Jeschke
citation:
  ama: 'Auzinger T, Guthe M, Jeschke S. Analytic anti-aliasing of linear functions
    on polytopes. In: Vol 31. Wiley-Blackwell; 2012:335-344. doi:<a href="http://dx.doi.org/10.1111/j.1467-8659.2012.03012.x">http://dx.doi.org/10.1111/j.1467-8659.2012.03012.x</a>'
  apa: 'Auzinger, T., Guthe, M., &#38; Jeschke, S. (2012). Analytic anti-aliasing
    of linear functions on polytopes (Vol. 31, pp. 335–344). Presented at the EUROGRAPHICS:
    European Association for Computer Graphics, Wiley-Blackwell. <a href="http://dx.doi.org/10.1111/j.1467-8659.2012.03012.x">http://dx.doi.org/10.1111/j.1467-8659.2012.03012.x</a>'
  chicago: Auzinger, Thomas, Michael Guthe, and Stefan Jeschke. “Analytic Anti-Aliasing
    of Linear Functions on Polytopes,” 31:335–44. Wiley-Blackwell, 2012. <a href="http://dx.doi.org/10.1111/j.1467-8659.2012.03012.x">http://dx.doi.org/10.1111/j.1467-8659.2012.03012.x</a>.
  ieee: 'T. Auzinger, M. Guthe, and S. Jeschke, “Analytic anti-aliasing of linear
    functions on polytopes,” presented at the EUROGRAPHICS: European Association for
    Computer Graphics, 2012, vol. 31, no. 121, pp. 335–344.'
  ista: 'Auzinger T, Guthe M, Jeschke S. 2012. Analytic anti-aliasing of linear functions
    on polytopes. EUROGRAPHICS: European Association for Computer Graphics, Computer
    Graphics Forum, vol. 31, 335–344.'
  mla: Auzinger, Thomas, et al. <i>Analytic Anti-Aliasing of Linear Functions on Polytopes</i>.
    Vol. 31, no. 121, Wiley-Blackwell, 2012, pp. 335–44, doi:<a href="http://dx.doi.org/10.1111/j.1467-8659.2012.03012.x">http://dx.doi.org/10.1111/j.1467-8659.2012.03012.x</a>.
  short: T. Auzinger, M. Guthe, S. Jeschke, in:, Wiley-Blackwell, 2012, pp. 335–344.
conference:
  name: 'EUROGRAPHICS: European Association for Computer Graphics'
date_created: 2018-12-11T11:56:40Z
date_published: 2012-05-13T00:00:00Z
date_updated: 2021-01-12T06:56:24Z
day: '13'
doi: http://dx.doi.org/10.1111/j.1467-8659.2012.03012.x
extern: 1
intvolume: '        31'
issue: 121
main_file_link:
- open_access: '1'
  url: https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_AAA/
month: '05'
oa: 1
page: 335 - 344
publication_status: published
publisher: Wiley-Blackwell
publist_id: '4676'
quality_controlled: 0
status: public
title: Analytic anti-aliasing of linear functions on polytopes
type: conference
volume: 31
year: '2012'
...