DocumentCode :
2237893
Title :
Matching perspective views of coplanar structures using projective unwarping and similarity matching
Author :
Collins, Robert T. ; Beveridge, J. Ross
Author_Institution :
Dept. of Comput. Sci., Massachusetts Univ., Amherst, MA, USA
fYear :
1993
fDate :
15-17 Jun 1993
Firstpage :
240
Lastpage :
245
Abstract :
The problem of matching perspective views of coplanar structures composed of line segments is considered. Both model-to-image and image-to-image correspondence matching are given a consistent treatment. These matching scenarios generally require discovery of an eight-parameter projective mapping. When the horizon line of the object plane can be found in the image, which is accomplished in this case by using vanishing point analysis, these problems reduce to a simpler six-parameter affine matching problem. When the intrinsic lens parameters of the camera are known, the problem further reduces to four-parameter affine similarity matching
Keywords :
computer vision; image matching; image recognition; coplanar structures; image-to-image correspondence matching; line segments; model-to-image matching; perspective view matching; projective unwarping; similarity matching; six-parameter affine matching; vanishing point analysis; Cameras; Computer science; Computer vision; Contracts; Image analysis; Image segmentation; Layout; Lenses; Military computing; Pervasive computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
Conference_Location :
New York, NY
ISSN :
1063-6919
Print_ISBN :
0-8186-3880-X
Type :
conf
DOI :
10.1109/CVPR.1993.340983
Filename :
340983
Link To Document :
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