DocumentCode
1697594
Title
Efficient computation of face shape similarity using distance transform eigendecomposition and valleys
Author
Pujol, Albert ; Villanueva, Juan J. ; Alba, Jose Luis
Author_Institution
Comput. Vision Center, Univ. Autonoma de Barcelona, Cerdanyola, Spain
Volume
1
fYear
2001
fDate
6/23/1905 12:00:00 AM
Firstpage
1030
Abstract
This paper presents a face recognition system based on the use of image ridges and valleys as face shape descriptors and a supervised Hausdorff based measure as similarity criteria. The proposed measure is designed to decrease the distance measured between images of the same subject. This measure is approximated using eigendecomposition in order to obtain a computationally efficient recognition method
Keywords
eigenvalues and eigenfunctions; face recognition; transforms; computationally efficient recognition method; distance transform eigendecomposition; face recognition system; face shape descriptors; face shape similarity; image ridges; image valleys; similarity criteria; supervised Hausdorff based measure; Computer vision; Displacement measurement; Distortion measurement; Eyes; Face detection; Face recognition; High definition video; Humans; Nose; Shape measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location
Thessaloniki
Print_ISBN
0-7803-6725-1
Type
conf
DOI
10.1109/ICIP.2001.959224
Filename
959224
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