Paper Info
Title
A Passive 3D Face Recognition System and Its Performance Evaluation
Abstract
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.
Year
DOI
Venue
2008
10.1093/ietfec/e91-a.8.1974
IEICE Transactions
Keywords
Field
DocType
facial information,face recognition system,phase-only correlation,passive stereo vision,active method,iterative closest point,biometrics,human recognition application,3d measurement,performance evaluation,face recognition,original icp algorithm,stereo vision,face recognition technique,proposed system,efficient recognition performance,laser scanning,phase shift,three dimensional
Computer vision,Facial recognition system,Face hallucination,3D single-object recognition,Three-dimensional face recognition,Stereopsis,Artificial intelligence,Biometrics,3-dimensional matching,Mathematics,Iterative closest point
Journal
Volume
Issue
ISSN
E91-A
8
0916-8508
Citations 
PageRank 
References 
1
0.37
7
Authors
6
Name
Order
Citations
PageRank
Akihiro Hayasaka141.10
Takuma Shibahara2283.49
Koichi Ito336854.87
Takafumi Aoki4915125.99
Hiroshi Nakajima58912.41
Koji Kobayashi68814.40