Cited By
View all- Krotewicz P(2016)Novel ear-assisted 3D face recognition under expression variationsInternational Journal of Biometrics10.1504/IJBM.2016.0771488:1(65-81)Online publication date: 1-Jan-2016
An efficient 3D face recognition algorithm
Authors: 
Vandana D. Kaushik, Aditya Budhwar, Anuj Dubey, Rahul Agrawal, Shraddha Gupta, Vinay K. Pathak, Phalguni GuptaAuthors Info & Claims
Vandana D. Kaushik, Aditya Budhwar, Anuj Dubey, Rahul Agrawal, Shraddha Gupta, Vinay K. Pathak, Phalguni GuptaAuthors Info & ClaimsPages 259 - 263
Abstract
This paper proposes an efficient expression invariant algorithm for 3D face recognition of subjects. The proposed algorithm uses a surface-based approach to extract automatically and to define geometrically the facial features like eyebrows, nose and lips. These extracted features are used to obtain some unique control points that can be used for matching. The algorithm is tested on Binghamton University 3D Facial Expression (BU-3DFE) database where each subject is having at least 6 expressions and is found to be more than 98.5% accurate.
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- An efficient 3D face recognition algorithm
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Published: 20 December 2009
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View all- Krotewicz P(2016)Novel ear-assisted 3D face recognition under expression variationsInternational Journal of Biometrics10.1504/IJBM.2016.0771488:1(65-81)Online publication date: 1-Jan-2016
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