---
_id: '12972'
abstract:
- lang: eng
text: Embroidery is a long-standing and high-quality approach to making logos and
images on textiles. Nowadays, it can also be performed via automated machines
that weave threads with high spatial accuracy. A characteristic feature of the
appearance of the threads is a high degree of anisotropy. The anisotropic behavior
is caused by depositing thin but long strings of thread. As a result, the stitched
patterns convey both color and direction. Artists leverage this anisotropic behavior
to enhance pure color images with textures, illusions of motion, or depth cues.
However, designing colorful embroidery patterns with prescribed directionality
is a challenging task, one usually requiring an expert designer. In this work,
we propose an interactive algorithm that generates machine-fabricable embroidery
patterns from multi-chromatic images equipped with user-specified directionality
fields.We cast the problem of finding a stitching pattern into vector theory.
To find a suitable stitching pattern, we extract sources and sinks from the divergence
field of the vector field extracted from the input and use them to trace streamlines.
We further optimize the streamlines to guarantee a smooth and connected stitching
pattern. The generated patterns approximate the color distribution constrained
by the directionality field. To allow for further artistic control, the trade-off
between color match and directionality match can be interactively explored via
an intuitive slider. We showcase our approach by fabricating several embroidery
paths.
acknowledgement: This work was supported by the European Research Council (ERC) under
the European Union’s Horizon 2020 research and innovation program (grant agreement
No 715767 – MATERIALIZABLE), and FWF Lise Meitner (Grant M 3319). We thank the anonymous
reviewers for their insightful feedback; Solal Pirelli, Shardul Chiplunkar, and
Paola Mejia for proofreading; everyone in the visual computing group at ISTA for
inspiring lunch and coffee breaks; Thibault Tricard for help producing the results
of Phasor Noise.
article_processing_charge: No
article_type: original
author:
- first_name: Zhenyuan
full_name: Liu, Zhenyuan
id: 70f0d7cf-ae65-11ec-a14f-89dfc5505b19
last_name: Liu
orcid: 0000-0001-9200-5690
- first_name: Michael
full_name: Piovarci, Michael
id: 62E473F4-5C99-11EA-A40E-AF823DDC885E
last_name: Piovarci
- first_name: Christian
full_name: Hafner, Christian
id: 400429CC-F248-11E8-B48F-1D18A9856A87
last_name: Hafner
- first_name: Raphael
full_name: Charrondiere, Raphael
id: a3a24133-2cc7-11ec-be88-8ddaf6f464b1
last_name: Charrondiere
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
citation:
ama: Liu Z, Piovarci M, Hafner C, Charrondiere R, Bickel B. Directionality-aware
design of embroidery patterns. Computer Graphics Forum. 2023;42(2):397-409.
doi:10.1111/cgf.14770
apa: 'Liu, Z., Piovarci, M., Hafner, C., Charrondiere, R., & Bickel, B. (2023).
Directionality-aware design of embroidery patterns. Computer Graphics Forum.
Saarbrucken, Germany: Wiley. https://doi.org/10.1111/cgf.14770
'
chicago: Liu, Zhenyuan, Michael Piovarci, Christian Hafner, Raphael Charrondiere,
and Bernd Bickel. “Directionality-Aware Design of Embroidery Patterns.” Computer
Graphics Forum. Wiley, 2023. https://doi.org/10.1111/cgf.14770
.
ieee: Z. Liu, M. Piovarci, C. Hafner, R. Charrondiere, and B. Bickel, “Directionality-aware
design of embroidery patterns,” Computer Graphics Forum, vol. 42, no. 2.
Wiley, pp. 397–409, 2023.
ista: Liu Z, Piovarci M, Hafner C, Charrondiere R, Bickel B. 2023. Directionality-aware
design of embroidery patterns. Computer Graphics Forum. 42(2), 397–409.
mla: Liu, Zhenyuan, et al. “Directionality-Aware Design of Embroidery Patterns.”
Computer Graphics Forum, vol. 42, no. 2, Wiley, 2023, pp. 397–409, doi:10.1111/cgf.14770 .
short: Z. Liu, M. Piovarci, C. Hafner, R. Charrondiere, B. Bickel, Computer Graphics
Forum 42 (2023) 397–409.
conference:
end_date: 2023-05-12
location: Saarbrucken, Germany
name: 'EG: Eurographics'
start_date: 2023-05-08
date_created: 2023-05-16T08:47:25Z
date_published: 2023-05-08T00:00:00Z
date_updated: 2023-08-01T14:47:05Z
day: '08'
ddc:
- '004'
department:
- _id: BeBi
doi: '10.1111/cgf.14770 '
ec_funded: 1
external_id:
isi:
- '001000062600033'
file:
- access_level: open_access
checksum: 4c188c2be4745467a8790bbf5d6491aa
content_type: application/pdf
creator: mpiovarc
date_created: 2023-05-16T08:28:37Z
date_updated: 2023-05-16T08:28:37Z
file_id: '12974'
file_name: Zhenyuan2023.pdf
file_size: 24003702
relation: main_file
success: 1
file_date_updated: 2023-05-16T08:28:37Z
has_accepted_license: '1'
intvolume: ' 42'
isi: 1
issue: '2'
keyword:
- embroidery
- design
- directionality
- density
- image
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
month: '05'
oa: 1
oa_version: Published Version
page: 397-409
project:
- _id: eb901961-77a9-11ec-83b8-f5c883a62027
grant_number: M03319
name: Perception-Aware Appearance Fabrication
- _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_identifier:
issn:
- 1467-8659
publication_status: published
publisher: Wiley
quality_controlled: '1'
status: public
title: Directionality-aware design of embroidery patterns
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 42
year: '2023'
...