DocumentCode
3072792
Title
Motion estimation using invariance under group transformations
Author
Duc, Benoît
Author_Institution
Signal Process. Lab., Swiss Federal Inst. of Technol., Lausanne, Switzerland
Volume
1
fYear
1994
fDate
9-13 Oct 1994
Firstpage
159
Abstract
This paper describes a spatiotemporal framework for motion estimation, based on a fully parametric motion model. The model type defines a group of transformations. The motion estimation consists in finding a subgroup which leaves the image sequence invariant
Keywords
motion estimation; group transformations; image sequence; invariance; motion estimation; spatiotemporal framework; transformations; Image motion analysis; Image sequences; Laboratories; Motion analysis; Motion estimation; Optical computing; Parameter estimation; Signal processing; Signal processing algorithms; Spatiotemporal phenomena;
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.1994.576249
Filename
576249
Link To Document