Title :
Similarity and affine distance between 2D point sets
Author :
Werman, Michael ; Weinshall, Daphna
Author_Institution :
Inst. of Comput. Sci., Hebrew Univ., Jerusalem, Israel
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;
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
DOI :
10.1109/ICPR.1994.576419
