TY - GEN
T1 - 3D face recognition using depth-based features
AU - Shin, Hyoungchul
AU - Sohn, Kwanghoon
PY - 2007
Y1 - 2007
N2 - A face has its structural components such as eyes, nose and mouth. Availability of depth and facial shape information of a face is one of the main advantages of three-dimensional (3D) face recognition. In order to utilize the depth information, we extract rigid facial points on facial components and their relational features. We also extract shape indexes on areas around rigid points to represent curvature information of a face. We perform face recognition by using weighted distance matching, Support Vector Machine (SVM) and Independent Component Analysis (ICA) with three different sets of features. From the experimental results, the proposed feature set performs the best compared with the other feature sets for all tested classifiers. The experimental results also show that using of both the position and the curvature features can represent a face effectively and distinctively while each of them does not provide a good discrimination power for face recognition individually.
AB - A face has its structural components such as eyes, nose and mouth. Availability of depth and facial shape information of a face is one of the main advantages of three-dimensional (3D) face recognition. In order to utilize the depth information, we extract rigid facial points on facial components and their relational features. We also extract shape indexes on areas around rigid points to represent curvature information of a face. We perform face recognition by using weighted distance matching, Support Vector Machine (SVM) and Independent Component Analysis (ICA) with three different sets of features. From the experimental results, the proposed feature set performs the best compared with the other feature sets for all tested classifiers. The experimental results also show that using of both the position and the curvature features can represent a face effectively and distinctively while each of them does not provide a good discrimination power for face recognition individually.
UR - http://www.scopus.com/inward/record.url?scp=56549083494&partnerID=8YFLogxK
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M3 - Conference contribution
AN - SCOPUS:56549083494
SN - 9780889866911
T3 - Proceedings of the 7th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2007
SP - 241
EP - 246
BT - Proceedings of the 7th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2007
T2 - 7th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2007
Y2 - 29 August 2007 through 31 August 2007
ER -