---
_id: '3265'
abstract:
- lang: eng
  text: We propose a mid-level statistical model for image segmentation that composes
    multiple figure-ground hypotheses (FG) obtained by applying constraints at different
    locations and scales, into larger interpretations (tilings) of the entire image.
    Inference is cast as optimization over sets of maximal cliques sampled from a
    graph connecting all non-overlapping figure-ground segment hypotheses. Potential
    functions over cliques combine unary, Gestalt-based figure qualities, and pairwise
    compatibilities among spatially neighboring segments, constrained by T-junctions
    and the boundary interface statistics of real scenes. Learning the model parameters
    is based on maximum likelihood, alternating between sampling image tilings and
    optimizing their potential function parameters. State of the art results are reported
    on the Berkeley and Stanford segmentation datasets, as well as VOC2009, where
    a 28% improvement was achieved.
article_number: '6126486'
author:
- first_name: Adrian
  full_name: Ion, Adrian
  id: 29F89302-F248-11E8-B48F-1D18A9856A87
  last_name: Ion
- first_name: Joao
  full_name: Carreira, Joao
  last_name: Carreira
- first_name: Cristian
  full_name: Sminchisescu, Cristian
  last_name: Sminchisescu
citation:
  ama: 'Ion A, Carreira J, Sminchisescu C. Image segmentation by figure-ground composition
    into maximal cliques. In: IEEE; 2012. doi:<a href="https://doi.org/10.1109/ICCV.2011.6126486">10.1109/ICCV.2011.6126486</a>'
  apa: 'Ion, A., Carreira, J., &#38; Sminchisescu, C. (2012). Image segmentation by
    figure-ground composition into maximal cliques. Presented at the ICCV: International
    Conference on Computer Vision, Barcelona, Spain: IEEE. <a href="https://doi.org/10.1109/ICCV.2011.6126486">https://doi.org/10.1109/ICCV.2011.6126486</a>'
  chicago: Ion, Adrian, Joao Carreira, and Cristian Sminchisescu. “Image Segmentation
    by Figure-Ground Composition into Maximal Cliques.” IEEE, 2012. <a href="https://doi.org/10.1109/ICCV.2011.6126486">https://doi.org/10.1109/ICCV.2011.6126486</a>.
  ieee: 'A. Ion, J. Carreira, and C. Sminchisescu, “Image segmentation by figure-ground
    composition into maximal cliques,” presented at the ICCV: International Conference
    on Computer Vision, Barcelona, Spain, 2012.'
  ista: 'Ion A, Carreira J, Sminchisescu C. 2012. Image segmentation by figure-ground
    composition into maximal cliques. ICCV: International Conference on Computer Vision,
    6126486.'
  mla: Ion, Adrian, et al. <i>Image Segmentation by Figure-Ground Composition into
    Maximal Cliques</i>. 6126486, IEEE, 2012, doi:<a href="https://doi.org/10.1109/ICCV.2011.6126486">10.1109/ICCV.2011.6126486</a>.
  short: A. Ion, J. Carreira, C. Sminchisescu, in:, IEEE, 2012.
conference:
  end_date: 2011-11-13
  location: Barcelona, Spain
  name: 'ICCV: International Conference on Computer Vision'
  start_date: 2011-11-06
date_created: 2018-12-11T12:02:21Z
date_published: 2012-01-12T00:00:00Z
date_updated: 2021-01-12T07:42:15Z
day: '12'
department:
- _id: HeEd
doi: 10.1109/ICCV.2011.6126486
fulldoi: https://doi.org/10.1109/ICCV.2011.6126486
language:
- iso: eng
month: '01'
oa_version: None
publication_status: published
publisher: IEEE
publist_id: '3382'
quality_controlled: '1'
status: public
title: Image segmentation by figure-ground composition into maximal cliques
type: conference
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
year: '2012'
...