DocumentCode :
3132229
Title :
Geometric invariants using geometry algebra
Author :
Qing, Ni ; Zhengzhi, Wang
Author_Institution :
Inst. of Autom., Nat. Univ. of Defense Technol., Changsha, China
Volume :
2
fYear :
2011
fDate :
20-21 Aug. 2011
Firstpage :
171
Lastpage :
174
Abstract :
In this paper, we interpret the fundamental geometric invariants in a new framework: geometric algebra (GA). The study of such geometric invariance is a field of active research. The homogeneous model (Grassmann model) is selected for different kinds of geometric invariants, including Euclidean invariants, Projective invariants etc. GA focuses on the subspace of a vector space as elements of computation. Linear transformation can be extended to the subspace structure. The paper compares the meaning of invariants using the new model with that using the traditional one. This work shows that geometric algebra is a very elegant language for expressing geometric objects.
Keywords :
algebra; geometry; Euclidean invariants; Grassmann model; geometric algebra; geometric invariance; geometric invariants; geometry algebra; homogeneous model; linear transformation; projective invariants; vector space; Computational modeling; Computer vision; Geometry; Measurement; Transforms; Vectors; geometric invariants; geometric transformations; geometric(Clifford)algebra; homogeneous model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Control and Industrial Engineering (CCIE), 2011 IEEE 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9599-3
Type :
conf
DOI :
10.1109/CCIENG.2011.6008094
Filename :
6008094
Link To Document :
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