DocumentCode :
2992537
Title :
Object recognition by affine invariant matching
Author :
Lamdan, Yehezkel ; Schwartz, Jacob T. ; Wolfson, Haim J.
Author_Institution :
Robotics Res. Lab., Courant Inst. of Math. Sci., New York, NY, USA
fYear :
1988
fDate :
5-9 Jun 1988
Firstpage :
335
Lastpage :
344
Abstract :
Novel techniques are described for model-based recognition of 3-D objects from unknown viewpoints using single-gray-scale images. The objects in the scene may be overlapping and partially occluded. Efficient matching algorithms, which assume affine approximation to the perspective viewing transformation, are proposed. The study is currently restricted to flat rigid 3-D objects. Point, line and curve matching algorithms are presented. The study especially emphasizes the curve matching problem. Experimental results are included
Keywords :
pattern recognition; 3-D objects; affine approximation; affine invariant matching; matching algorithms; model-based recognition; pattern recognition; single-gray-scale images; Approximation algorithms; Cameras; Computer vision; Image recognition; Image segmentation; Jacobian matrices; Laboratories; Layout; Object recognition; Robots;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1988. Proceedings CVPR '88., Computer Society Conference on
Conference_Location :
Ann Arbor, MI
ISSN :
1063-6919
Print_ISBN :
0-8186-0862-5
Type :
conf
DOI :
10.1109/CVPR.1988.196257
Filename :
196257
Link To Document :
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