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
fDate :
6/23/1905 12:00:00 AM
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;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.959224
