DocumentCode :
2317451
Title :
Invariants of families of coplanar conics and their applications to object recognition
Author :
Heisterkamp, Douglas R. ; Bhattacharya, Prabir
Author_Institution :
Nebraska Univ., Lincoln, NE, USA
Volume :
1
fYear :
1996
fDate :
25-29 Aug 1996
Firstpage :
677
Abstract :
This paper presents mutual invariants of families of coplanar conics. These invariants are compared with the use for invariants of two conics and a case is presented where the proposed invariants have a greater discriminating power than the previously used invariants. The use of invariants is extended to any number of coplanar conics. A lambda-matrix is associated with each family of coplanar conics. The use of lambda-matrices is extended from the single-variable polynomial to multivariable polynomials. The Segre characteristic and other invariants of the lambda-matrix are used as invariants of the family of conics
Keywords :
image recognition; matrix algebra; object recognition; Segre characteristic; coplanar conics families; invariants; lambda-matrix; multivariable polynomials; object recognition; Application software; Artificial intelligence; Computer vision; Geometry; Image recognition; Object recognition; Polynomials; Shape; Sorting; Transmission line matrix methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
ISSN :
1051-4651
Print_ISBN :
0-8186-7282-X
Type :
conf
DOI :
10.1109/ICPR.1996.546110
Filename :
546110
Link To Document :
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