---
_id: '18343'
abstract:
- lang: eng
  text: In this paper, we explore the use of the diffusion geometry framework for
    the fusion of geometric and photometric information in local heat kernel signature
    shape descriptors. Our construction is based on the definition of a diffusion
    process on the shape manifold embedded into a high-dimensional space where the
    embedding coordinates represent the photometric information. Experimental results
    show that such data fusion is useful in coping with different challenges of shape
    analysis where pure geometric and pure photometric methods fail.
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Artiom
  full_name: Kovnatsky, Artiom
  last_name: Kovnatsky
- first_name: Michael M.
  full_name: Bronstein, Michael M.
  last_name: Bronstein
- first_name: Alexander
  full_name: Bronstein, Alexander
  id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
  last_name: Bronstein
  orcid: 0000-0001-9699-8730
- first_name: Ron
  full_name: Kimmel, Ron
  last_name: Kimmel
citation:
  ama: 'Kovnatsky A, Bronstein MM, Bronstein AM, Kimmel R. Photometric heat kernel
    signatures. In: <i>3rd International Conference on Scale Space and Variational
    Methods in Computer Vision</i>. Vol 6667. Springer Nature; 2012:616-627. doi:<a
    href="https://doi.org/10.1007/978-3-642-24785-9_52">10.1007/978-3-642-24785-9_52</a>'
  apa: 'Kovnatsky, A., Bronstein, M. M., Bronstein, A. M., &#38; Kimmel, R. (2012).
    Photometric heat kernel signatures. In <i>3rd International Conference on Scale
    Space and Variational Methods in Computer Vision</i> (Vol. 6667, pp. 616–627).
    Ein-Gedi, Israel: Springer Nature. <a href="https://doi.org/10.1007/978-3-642-24785-9_52">https://doi.org/10.1007/978-3-642-24785-9_52</a>'
  chicago: Kovnatsky, Artiom, Michael M. Bronstein, Alex M. Bronstein, and Ron Kimmel.
    “Photometric Heat Kernel Signatures.” In <i>3rd International Conference on Scale
    Space and Variational Methods in Computer Vision</i>, 6667:616–27. Springer Nature,
    2012. <a href="https://doi.org/10.1007/978-3-642-24785-9_52">https://doi.org/10.1007/978-3-642-24785-9_52</a>.
  ieee: A. Kovnatsky, M. M. Bronstein, A. M. Bronstein, and R. Kimmel, “Photometric
    heat kernel signatures,” in <i>3rd International Conference on Scale Space and
    Variational Methods in Computer Vision</i>, Ein-Gedi, Israel, 2012, vol. 6667,
    pp. 616–627.
  ista: 'Kovnatsky A, Bronstein MM, Bronstein AM, Kimmel R. 2012. Photometric heat
    kernel signatures. 3rd International Conference on Scale Space and Variational
    Methods in Computer Vision. SSVM: Scale Space and Variational Methods in Computer
    Vision, LNCS, vol. 6667, 616–627.'
  mla: Kovnatsky, Artiom, et al. “Photometric Heat Kernel Signatures.” <i>3rd International
    Conference on Scale Space and Variational Methods in Computer Vision</i>, vol.
    6667, Springer Nature, 2012, pp. 616–27, doi:<a href="https://doi.org/10.1007/978-3-642-24785-9_52">10.1007/978-3-642-24785-9_52</a>.
  short: A. Kovnatsky, M.M. Bronstein, A.M. Bronstein, R. Kimmel, in:, 3rd International
    Conference on Scale Space and Variational Methods in Computer Vision, Springer
    Nature, 2012, pp. 616–627.
conference:
  end_date: 2011-06-02
  location: Ein-Gedi, Israel
  name: 'SSVM: Scale Space and Variational Methods in Computer Vision'
  start_date: 2011-05-29
date_created: 2024-10-15T11:20:54Z
date_published: 2012-01-09T00:00:00Z
date_updated: 2025-01-16T12:53:38Z
day: '09'
doi: 10.1007/978-3-642-24785-9_52
extern: '1'
intvolume: '      6667'
language:
- iso: eng
month: '01'
oa_version: None
page: 616-627
publication: 3rd International Conference on Scale Space and Variational Methods in
  Computer Vision
publication_identifier:
  eisbn:
  - '9783642247859'
  eissn:
  - 1611-3349
  isbn:
  - '9783642247842'
  issn:
  - 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Photometric heat kernel signatures
type: conference
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 6667
year: '2012'
...