Identification of curvature features with use of boundary-skeleton model of image
ISCGAV'07 Proceedings of the 7th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
Towards 3D-aided profile-based face recognition
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
3D-aided profile-based face recognition
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Efficient 3D face recognition handling facial expression and hair occlusion
Image and Vision Computing
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The human facial profile curve provides complementary information of the face that is not present in the frontal-view face, which has been used in face identification, face analysis and modelling. This paper addresses robust facial profile recognition. With appropriate rotation, the profile curve can be considered as a histogram, where histogram metric could be employed to measure profiles. The advantage is that no detection of fiducial points is required, which is usually unreliable and hard to implement fully automatically. This paper also introduces three methods to align profiles, and investigates four similarity measures. The experiments on two profile image databases (Bern and FERET) and a facial range data set are carried out. The comparison with two primary approaches is conducted. The experimental results demonstrate that, compared with other methods, the involved metric for profile recognition has perfect performance robustness against noise.