DocumentCode
3315109
Title
On affine invariance in the Beltrami framework for vision
Author
Sochen, Nir A.
Author_Institution
Dept. of Appl. Math., Tel Aviv Univ., Israel
fYear
2001
fDate
2001
Firstpage
51
Lastpage
56
Abstract
We use the geometric Beltrami framework to incorporate and explain some of the known invariant flows, e.g., the equi-affine invariant flow. It is also demonstrated that the new concepts put forward in this framework enable us to construct new invariant flows for the case where the codimension is greater than one, e.g., for color images and video
Keywords
computational geometry; computer vision; image colour analysis; video signal processing; affine invariance; color images; computer vision; equi-affine invariant flow; geometric Beltrami framework; video; Color; Computer vision; Distance measurement; Equations; Geometry; Image recognition; Mathematics; Shape; Surface treatment; Volume measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Variational and Level Set Methods in Computer Vision, 2001. Proceedings. IEEE Workshop on
Conference_Location
Vancouver, BC
Print_ISBN
0-7695-1278-X
Type
conf
DOI
10.1109/VLSM.2001.938881
Filename
938881
Link To Document