DocumentCode
3206887
Title
Comparing images using the Hausdorff distance under translation
Author
Huttenlocher, Daniel P. ; Rucklidge, William J. ; Klanderman, Gregory A.
Author_Institution
Dept. of Comput. Sci., Cornell Univ., Ithaca, NY, USA
fYear
1992
fDate
15-18 Jun 1992
Firstpage
654
Lastpage
656
Abstract
Efficient algorithms are provided for computing the Hausdorff distance between a binary image and all possible relative positions (translations) of a model, or a portion of that model. The computation is in many ways similar to binary correlation. However, it is more tolerant of perturbations in the locations of points because it measures proximity rather than exact superposition
Keywords
computer vision; image recognition; Hausdorff distance; binary correlation; binary image; model translations; perturbation tolerance; proximity measurement; relative positions; Computer science; Graphics; Machine vision; Nearest neighbor searches; Pattern recognition; Pixel; Q measurement; Quantum computing; Scholarships; Shape measurement;
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.1992.223209
Filename
223209
Link To Document