DocumentCode
3098804
Title
Similarity and affine distance between 2D point sets
Author
Werman, Michael ; Weinshall, Daphna
Author_Institution
Inst. of Comput. Sci., Hebrew Univ., Jerusalem, Israel
Volume
1
fYear
1994
fDate
9-13 Oct 1994
Firstpage
723
Abstract
We develop expressions for measuring the distance between 2D point sets, which are invariant to either 2D affine transformations or 2D similarity transformations of the sets, and assuming a known correspondence between the point sets. Moreover, it makes it possible to compute the distance between images under different conditions, including cases where the images are treated asymmetrically. We demonstrate these results with real images
Keywords
image processing; 2D affine transformations; 2D point sets; 2D similarity transformations; affine distance; matrix representation; similarity distance; vector representation; Computer science; Euclidean distance; Genetic mutations; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on
Conference_Location
Jerusalem
Print_ISBN
0-8186-6265-4
Type
conf
DOI
10.1109/ICPR.1994.576419
Filename
576419
Link To Document