A morphable model for the synthesis of 3D faces
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Example-Based Object Detection in Images by Components
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition: Features Versus Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
An embedded HMM-based approach for face detection and recognition
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Visual Object Recognition with Supervised Learning
IEEE Intelligent Systems
Face recognition: component-based versus global approaches
Computer Vision and Image Understanding - Special issue on Face recognition
3D face recognition based on high-resolution 3D face modeling from frontal and profile views
WBMA '03 Proceedings of the 2003 ACM SIGMM workshop on Biometrics methods and applications
Three-Dimensional Face Recognition
International Journal of Computer Vision
Geometric invariants for 2D/3D face recognition
Pattern Recognition Letters
Expression-invariant 3D face recognition
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Classification and segmentation of brain tumor using texture analysis
AIKED'10 Proceedings of the 9th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
Evaluation of SVM classification of avatar facial recognition
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part III
Automated face identification using volume-based facial models
CGI'06 Proceedings of the 24th international conference on Advances in Computer Graphics
Asymmetric 3d/2d processing: a novel approach for face recognition
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
PSI'09 Proceedings of the 7th international Andrei Ershov Memorial conference on Perspectives of Systems Informatics
Meshes vs. depth maps in face recognition systems
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
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We present a novel approach to pose and illumination invariant face recognition that combines two recent advances in the computer vision field: component-based recognition and 3D morphable models. In a first step a 3D morphable model is used to generate 3D face models from only two input images from each person in the training database. By rendering the 3D models under varying pose and illumination conditions we then create a vast number of synthetic face images which are used to train a component-based face recognition system. In preliminary experiments we show the potential of our approach regarding pose and illumination invariance.