DocumentCode
2606177
Title
Equivariance and invariance-an approach based on Lie groups
Author
Nordberg, Klas ; Granlund, Gösta
Author_Institution
Comput. Vision Lab., Linkoping Univ., Sweden
Volume
3
fYear
1996
fDate
16-19 Sep 1996
Firstpage
181
Abstract
The paper discusses the concepts of invariance and equivariance in the context of continuous operator groups, or Lie groups, acting on both the image and a descriptor of some image feature. The theory is illustrated by an example of how a 3D image neighbourhood that contains a linear structure can be mapped to a tensor that represents the orientation of the structure. A second order tensor is defined which represents both local orientation and local phase in a continuous way, the phase is given by the relation between the symmetric and anti-symmetric part of this tensor. By computing a tensor inner product of the tensor, a phase invariant orientations representation is obtained
Keywords
Lie groups; image representation; image segmentation; invariance; tensors; 3D image neighbourhood; Lie groups; continuous operator groups; equivariance; image feature descriptor; invariance; linear structure; local orientation; local phase; phase invariant orientations representation; second order tensor; structure orientation; tensor inner product; Computer vision; Ear; Laboratories; Tensile stress; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1996. Proceedings., International Conference on
Conference_Location
Lausanne
Print_ISBN
0-7803-3259-8
Type
conf
DOI
10.1109/ICIP.1996.560414
Filename
560414
Link To Document