---
_id: '3336'
abstract:
- lang: eng
  text: 'We introduce TopoCut: a new way to integrate knowledge about topological
    properties (TPs) into random field image segmentation model. Instead of including
    TPs as additional constraints during minimization of the energy function, we devise
    an efficient algorithm for modifying the unary potentials such that the resulting
    segmentation is guaranteed with the desired properties. Our method is more flexible
    in the sense that it handles more topology constraints than previous methods,
    which were only able to enforce pairwise or global connectivity. In particular,
    our method is very fast, making it for the first time possible to enforce global
    topological properties in practical image segmentation tasks.'
acknowledgement: The first author is supported by the Austrian Science Fund (FWF)
  grant No. P20134-N13. The authors would like to thank Sebastian Nowozin for helpful
  discussions.
article_processing_charge: No
author:
- first_name: Chao
  full_name: Chen, Chao
  id: 3E92416E-F248-11E8-B48F-1D18A9856A87
  last_name: Chen
- first_name: Daniel
  full_name: Freedman, Daniel
  last_name: Freedman
- first_name: Christoph
  full_name: Lampert, Christoph
  id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
  last_name: Lampert
  orcid: 0000-0001-8622-7887
citation:
  ama: 'Chen C, Freedman D, Lampert C. Enforcing topological constraints in random
    field image segmentation. In: <i>CVPR: Computer Vision and Pattern Recognition</i>.
    IEEE; 2011:2089-2096. doi:<a href="https://doi.org/10.1109/CVPR.2011.5995503">10.1109/CVPR.2011.5995503</a>'
  apa: 'Chen, C., Freedman, D., &#38; Lampert, C. (2011). Enforcing topological constraints
    in random field image segmentation. In <i>CVPR: Computer Vision and Pattern Recognition</i>
    (pp. 2089–2096). Colorado Springs, CO, United States: IEEE. <a href="https://doi.org/10.1109/CVPR.2011.5995503">https://doi.org/10.1109/CVPR.2011.5995503</a>'
  chicago: 'Chen, Chao, Daniel Freedman, and Christoph Lampert. “Enforcing Topological
    Constraints in Random Field Image Segmentation.” In <i>CVPR: Computer Vision and
    Pattern Recognition</i>, 2089–96. IEEE, 2011. <a href="https://doi.org/10.1109/CVPR.2011.5995503">https://doi.org/10.1109/CVPR.2011.5995503</a>.'
  ieee: 'C. Chen, D. Freedman, and C. Lampert, “Enforcing topological constraints
    in random field image segmentation,” in <i>CVPR: Computer Vision and Pattern Recognition</i>,
    Colorado Springs, CO, United States, 2011, pp. 2089–2096.'
  ista: 'Chen C, Freedman D, Lampert C. 2011. Enforcing topological constraints in
    random field image segmentation. CVPR: Computer Vision and Pattern Recognition.
    CVPR: Conference on Computer Vision and Pattern Recognition, 2089–2096.'
  mla: 'Chen, Chao, et al. “Enforcing Topological Constraints in Random Field Image
    Segmentation.” <i>CVPR: Computer Vision and Pattern Recognition</i>, IEEE, 2011,
    pp. 2089–96, doi:<a href="https://doi.org/10.1109/CVPR.2011.5995503">10.1109/CVPR.2011.5995503</a>.'
  short: 'C. Chen, D. Freedman, C. Lampert, in:, CVPR: Computer Vision and Pattern
    Recognition, IEEE, 2011, pp. 2089–2096.'
conference:
  end_date: 2011-06-25
  location: Colorado Springs, CO, United States
  name: 'CVPR: Conference on Computer Vision and Pattern Recognition'
  start_date: 2011-06-20
date_created: 2018-12-11T12:02:45Z
date_published: 2011-07-22T00:00:00Z
date_updated: 2023-02-23T12:23:56Z
day: '22'
department:
- _id: HeEd
- _id: ChLa
doi: 10.1109/CVPR.2011.5995503
language:
- iso: eng
month: '07'
oa_version: None
page: 2089 - 2096
publication: 'CVPR: Computer Vision and Pattern Recognition'
publication_identifier:
  eisbn:
  - 978-1-4577-0395-9
  isbn:
  - 978-1-4577-0394-2
publication_status: published
publisher: IEEE
publist_id: '3294'
quality_controlled: '1'
related_material:
  record:
  - id: '5386'
    relation: earlier_version
    status: public
scopus_import: '1'
status: public
title: Enforcing topological constraints in random field image segmentation
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2011'
...