Accurate contouring technique for object boundary extraction in stereoscopic imageries

  • Shin Hyoung Kim*
  • , Jong Whan Jang
  • , Seung Phil Lee
  • , Jae Ho Choi
  • *Corresponding author for this work

Research output: Contribution to conferenceConference paperpeer-review

Abstract

A new snake-based algorithm is presented to segment objects from a pair of stereo images, The proposed algorithm is built upon a new energy function defined in the disparity space in such a way to successfully locate the boundary of an object found in a stereo image pair. The distinction of our algorithm comes from its superb segmentation capability even when the objects in the image are occluded and the background behind them is cluttered. The computer simulation shows out-performing results over the well-known conventional snake algorithm in terms of segmentation accuracy.

Original languageEnglish
Title of host publicationComputational Intelligence and Security - International Conference, CIS 2005, Proceedings
PublisherSpringer Verlag
Pages869-874
Number of pages6
ISBN (Print)3540308199, 9783540308195
DOIs
StatePublished - 2005
EventInternational Conference on Computational Intelligence and Security, CIS 2005 - Xi'an, China
Duration: 2005.12.152005.12.19

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3802 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Computational Intelligence and Security, CIS 2005
Country/TerritoryChina
CityXi'an
Period05.12.1505.12.19

Quacquarelli Symonds(QS) Subject Topics

  • Computer Science & Information Systems

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