IEEE Transactions on Pattern Analysis and Machine Intelligence
Handbook of Face Recognition
A High-Accuracy Passive 3D Measurement System Using Phase-Based Image Matching
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
A survey of 3d face recognition methods
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Extension of phase correlation to subpixel registration
IEEE Transactions on Image Processing
Subpixel estimation of shifts directly in the Fourier domain
IEEE Transactions on Image Processing
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This paper proposes a three-dimensional (3D) face recognition system using passive stereo vision. So far, the reported 3D face recognition techniques have used active 3D measurement methods to capture high-quality 3D facial information. However, active methods employ structured illumination (structure projection, phase shift, moire topography, etc.) or laser scanning, which is not desirable in many human recognition applications. Addressing this problem, we propose a face recognition system that uses (i) passive stereo vision to capture 3D facial information and (ii) 3D matching using an ICP (Iterative Closest Point) algorithm with its improvement techniques. Experimental evaluation demonstrates efficient recognition performance of the proposed system compared with an active 3D face recognition system and a passive 3D face recognition system employing the original ICP algorithm.