Title :
Investigating profile extracted from range data for 3D face recognition
Author :
Pan, Gang ; Wu, Yijun ; Wu, Zhaohui
Author_Institution :
Dept. of Comput. Sci. & Eng., Zhejiang Univ., China
Abstract :
In this paper we investigate the discriminative capability of facial profile extracted from range data for 3D face recognition. A robust symmetry plane detection method is proposed for profile extracting. A global profile matching approach based on k-th Hausdorff metric is presented to align and compare profiles, without detection of fiducial points that is often unreliable. The experiment are carried out on a low-quality database with 180 pieces of range data of 30 individuals acquired by a structured light system. Based on the experimental results, we observe that the profile is quite valuable information in 3D face recognition, and the best EER of 2.22% is achieved.
Keywords :
face recognition; feature extraction; pattern matching; 3D face recognition; Hausdorff metric; global profile matching; low quality database; profile extracting; range data; symmetry plane detection method; Computer science; Computer vision; Data engineering; Data mining; Databases; Degradation; Face recognition; Image recognition; Lighting; Robustness;
Conference_Titel :
Systems, Man and Cybernetics, 2003. IEEE International Conference on
Print_ISBN :
0-7803-7952-7
DOI :
10.1109/ICSMC.2003.1244607
