DocumentCode
2395497
Title
Applications of Lie groups and Lie algebra to computer vision: A brief survey
Author
Xu, Qiang ; Ma, Dengwu
Author_Institution
Dept. of Ordnance Sci. & Technol., Naval Aeronaut. & Astronaut. Univ., Yantai, China
fYear
2012
fDate
19-20 May 2012
Firstpage
2024
Lastpage
2029
Abstract
Recent years an extensive literature appears using the Lie groups theory to solve the problems of computer vision. Lie groups theory is the natural representation of a space of transformations. Lie algebra is the tangent space of Lie groups at the identity. From Lie groups to Lie algebra, we can establish a mapping from the multiplicative structure to an equivalent vector space representation, which makes correlation calculation become rational and precise. Based on the linear structure of Lie algebra, many statistical learning methods can be readily applied. This survey briefly reviews the different approaches about the use of Lie groups theory that have been developed by research; introducing the mathematical background of Lie groups theory corresponding to computer vision; describing the main approaches in details according two categories.
Keywords
Lie algebras; Lie groups; computer vision; matrix algebra; Lie algebra; Lie groups theory; computer vision; multiplicative structure; statistical learning methods; vector space representation; Computer vision; Generators; Manifolds; Transforms; Vectors; Vehicles; Lie algebra; Lie groups; computer vision; transformation matrix;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems and Informatics (ICSAI), 2012 International Conference on
Conference_Location
Yantai
Print_ISBN
978-1-4673-0198-5
Type
conf
DOI
10.1109/ICSAI.2012.6223449
Filename
6223449
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