DocumentCode :
521679
Title :
Recognition Research on Visual Invariants Using Conformal Geometric Algebra
Author :
Wang Xian ; Hao Kuang-Rong
Author_Institution :
Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai, China
fYear :
2010
fDate :
19-21 June 2010
Firstpage :
1
Lastpage :
4
Abstract :
This article firstly introduces the theory of conformal geometric algebra, the expression and calculation of geometry invariants are given by using this theory; the invariants of five-line structure are used as the features of detected target, the straight lines are extracted with the help of Hough transform and then matched directly by using the invariants of five-line structure. Target structure constraints are added in order to remove false matches. The method requires a small amount of computation and the simulation result proves its validity and rapidity.
Keywords :
Hough transforms; linear algebra; object detection; Hough transform; conformal geometric algebra; five line structure invariants; geometry invariants; visual invariants; Algebra; Application software; Computational modeling; Computer vision; Educational institutions; End effectors; Geometry; Layout; Object recognition; Textile technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Photonics and Optoelectronic (SOPO), 2010 Symposium on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4963-7
Electronic_ISBN :
978-1-4244-4964-4
Type :
conf
DOI :
10.1109/SOPO.2010.5504339
Filename :
5504339
Link To Document :
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