DocumentCode :
2438534
Title :
Curvature-based face surface recognition using spherical correlation-principal directions for curved object recognition
Author :
Tanaka, Hiromi T. ; Ikeda, Masaki
Author_Institution :
Dept. of Comput. Sci., Ritsumeikan Univ., Shiga, Japan
Volume :
3
fYear :
1996
fDate :
25-29 Aug 1996
Firstpage :
638
Abstract :
In this paper, we present a correlation-based face recognition approach based on the analysis of maximum and minimum principal curvatures and their directions. We treat face recognition problem as a 3D shape recognition problem of free-form curved surfaces. Our approach is based on a 3D vector sets correlation method which does not require either face feature extraction or surface segmentation. Each face in both input images and the model database, is represented as an extended Gaussian image (EGI), constructed by mapping principal curvatures and their directions at each surface points, onto two unit spheres, each of which represents ridge and valley lines respectively. Individual face is then recognized by evaluating the similarities among others by using Fisher´s spherical correlation on EGIs of faces. The method is tested for its simplicity and robustness and successively implemented for each of the face range images for NRCC (National Research Council of Canada) 3D image data files. Results shows that shape information from surface curvatures provides vital clues in distinguishing and identifying such fine surface structure as human faces
Keywords :
computer vision; correlation methods; edge detection; face recognition; minimax techniques; stereo image processing; 3D image data files; 3D shape recognition; Fisher spherical correlation; National Research Council of Canada; correlation method; curved object recognition; extended Gaussian image; face shape analysis; face surface recognition; human faces; minimax technique; spherical correlation; Correlation; Face recognition; Feature extraction; Image databases; Image segmentation; Robustness; Shape; Spatial databases; Surface treatment; Testing;
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.1996.547024
Filename :
547024
Link To Document :
بازگشت