DocumentCode
3121156
Title
Segment based stereo matching using shape description and hierarchical maximal clique
Author
Seki, Yasuo
Author_Institution
NTT Human Interface Lab., Kanagawa, Japan
fYear
1989
fDate
10-12 Apr 1989
Firstpage
139
Lastpage
144
Abstract
A novel stereo matching method operating on edge segments is presented. In this method shape measure of edge segments is introduced to weigh candidates for matching. Matching determination is performed by a hierarchical clique method that is based on the weight of the candidates. The method is shown by simulation to perform fairly well if the scene produces good edge images; otherwise, the matching result degrades rapidly due to epipolar constraint too strong for the composite segments´ tips
Keywords
computer vision; computerised pattern recognition; computerised picture processing; candidates; edge images; edge segments; epipolar constraint; hierarchical maximal clique; matching determination; scene; shape description; shape measure; simulation; stereo matching method; weight; Cameras; Explosions; Humans; Image segmentation; Laboratories; Layout; Robots; Shape; Stereo vision; Telephony;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Applications of Machine Intelligence and Vision, 1989., International Workshop on
Conference_Location
Tokyo
Type
conf
DOI
10.1109/MIV.1989.40539
Filename
40539
Link To Document