DocumentCode
3206144
Title
Contour matching using local affine transformations
Author
Bachelder, Ivan A. ; Ullman, Shimon
Author_Institution
Artificial Intelligence Lab., MIT, Cambridge, MA, USA
fYear
1992
fDate
15-18 Jun 1992
Firstpage
798
Lastpage
801
Abstract
A noniterative scheme for determining contour matches using locally affine transformations is proposed. The method assumes that contours are approximated by the orthographic projection of planar patches within oriented neighborhoods of varying sizes. For degenerate cases, a minimal matching solution is chosen closest to the minimal pure translation. Performance on noisy synthetic and natural contour imagery is reported
Keywords
image recognition; contour matches; locally affine transformations; minimal matching; natural contour imagery; noisy synthetic imagery; oriented neighborhoods; orthographic projection; planar patches; Apertures; Artificial intelligence; Computed tomography; Image motion analysis; Laboratories; Least squares approximation; Motion measurement; Object recognition; Optical sensors; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location
Champaign, IL
ISSN
1063-6919
Print_ISBN
0-8186-2855-3
Type
conf
DOI
10.1109/CVPR.1992.223169
Filename
223169
Link To Document