3D face recognition based on geometrical measurement

Authors:
Mingquan Zhou;Xiaoning Liu;Guohua Geng
Affiliations:
Dept of Computer Science, Northwest University, Xi'an, P.R.China;Dept of Computer Science, Northwest University, Xi'an, P.R.China;Dept of Computer Science, Northwest University, Xi'an, P.R.China
Venue:
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Year:
2004

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Abstract

2D face recognition is held back because the face is three-dimensional The 3D facial data can provide a promising way to understand the feature of the human face in 3D space and has potential possibility to improve the performance of the system There are some distinct advantages in using 3D information: sufficient geometrical information, invariance of measured features relative to transformation and capture process by laser scanners being immune to illumination variation A 3D face recognition method based on geometrical measurement is proposed By two ways, the 3D face data can be obtained, then their facial feature points are extracted and the measurement is done A feature vector is composed of eleven features Self-Recognition and Mutual-Recognition are tested The results show that the presented method is feasible.