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