DocumentCode :
457225
Title :
Differentiating Between Many Similar Features using Relational Information in Space and Scale
Author :
Gan, Timothy S Y ; Drummond, Tom W.
Author_Institution :
Dept. of Eng., Cambridge Univ.
Volume :
2
fYear :
0
fDate :
0-0 0
Firstpage :
638
Lastpage :
641
Abstract :
We present an approach for differentiating between large numbers of similar feature points. The approach employs a learning strategy which utilizes mutual information to yield relational information or structure between feature points. It learns an ordered list of jumps in space and scale which is used for differentiation. To test the viability and potential of the approach, two datasets containing faces and objects were used
Keywords :
feature extraction; learning (artificial intelligence); feature points; learning strategy; relational information; Computer vision; Data mining; Feature extraction; Gallium nitride; Image databases; Mutual information; Pattern recognition; Runtime; Spatial databases; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
ISSN :
1051-4651
Print_ISBN :
0-7695-2521-0
Type :
conf
DOI :
10.1109/ICPR.2006.449
Filename :
1699286
Link To Document :
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