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ICBA
2004
Springer

Face Recognition with 3D Model-Based Synthesis

12 years 5 months ago
Face Recognition with 3D Model-Based Synthesis
Abstract. Current appearance-based face recognition system encounters the difficulty to recognize faces with appearance variations, while only a small number of training images are available. We present a scheme based on the analysis by synthesis framework. A 3D generic face model is aligned onto a given frontal face image. A number of synthetic face images are generated with appearance variations from the aligned 3D face model. These synthesized images are used to construct an affine subspace for each subject. Training and test images for each subject are represented in the same way in such a subspace. Face recognition is achieved by minimizing the distance between the subspace of a test subject and that of each subject in the database. Only a single face image of each subject is available for training in our experiments. Preliminary experimental results are promising.
Xiaoguang Lu, Rein-Lien Hsu, Anil K. Jain, Behrooz
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where ICBA
Authors Xiaoguang Lu, Rein-Lien Hsu, Anil K. Jain, Behrooz Kamgar-Parsi, Behzad Kamgar-Parsi
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