DocumentCode
788592
Title
Structural stereopsis for 3-D vision
Author
Boyer, K.L. ; Kak, A.C.
Author_Institution
Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
Volume
10
Issue
2
fYear
1988
fDate
3/1/1988 12:00:00 AM
Firstpage
144
Lastpage
166
Abstract
A novel approach to solving the stereo correspondence problem in computer vision is described. Structural descriptions of two two-dimensional views of a scene are extracted by one of possibly several available low-level processes, and a new theory of inexact matching for such structures is derived. An entropy-based figure of merit for attribute selection and ordering is defined. Experimental results applying these techniques to real image pairs are presented. Some manipulation experiments are briefly presented
Keywords
computer vision; computerised pattern recognition; statistical analysis; 2D views; 3D comput vision; computerised pattern recognition; entropy-based figure of merit; image pairs; inexact matching; robot vision; stereo correspondence; structural stereopsis; Computer aided manufacturing; Computer vision; Degradation; Distortion measurement; Layout; Manufacturing automation; Robot vision systems; Robotics and automation; Satellites; Stereo vision;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.3880
Filename
3880
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