Towards segmentation from multiple cues: Symmetry and color

Roy Shor, Nahum Kiryati

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Towards segmentation from multiple cues, this paper demonstrates the combined use of color and symmetry for detecting regions of interest (ROI), using the detection of man-made wooden objects and the detection of faces as working examples. A functional that unifies color compatibility and color-symmetry within elliptic supports is defined. Using this functional, the ROI detection problem becomes a five-dimensional global optimization problem. Exhaustive-search is inapplicable due its prohibitive computational cost. Genetic search converges rapidly and provides good results. The added value obtained by combining color and symmetry is demonstrated.

Original languageEnglish
Title of host publicationMulti-Image Analysis - 10th International Workshop on Theoretical Foundations of Computer Vision, Revised Papers
EditorsReinhard Klette, Georgy Gimel’farb, Thomas Huang
PublisherSpringer Verlag
Pages142-152
Number of pages11
ISBN (Print)354042122X, 9783540421221
DOIs
StatePublished - 2001
Event10th International Workshop on Theoretical Foundations of Computer Vision, 2000 - Dagstuhl Castle, Germany
Duration: 12 Mar 200017 Mar 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2032
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Workshop on Theoretical Foundations of Computer Vision, 2000
Country/TerritoryGermany
CityDagstuhl Castle
Period12/03/0017/03/00

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