Multi-view face and eye detection using discriminant features
Computer Vision and Image Understanding
Towards understanding expression for tele-operation
International Journal of Computer Applications in Technology
A novel approach to classification of facial expressions from 3D-mesh datasets using modified PCA
Pattern Recognition Letters
Facial Feature Extraction and Change Analysis Using Photometric Stereo
IbPRIA '09 Proceedings of the 4th Iberian Conference on Pattern Recognition and Image Analysis
Gradient based method for static facial features localization
VIIP '07 The Seventh IASTED International Conference on Visualization, Imaging and Image Processing
Facial landmark detection system using interest-region model and edge energy function
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Automatic edge-based localization of facial features from images with complex facial expressions
Pattern Recognition Letters
Accurate facial feature localization on expressional face images based on a graphical model approach
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
3D shape constraint for facial feature localization using probabilistic-like output
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Facial expression recognition using AAMICPF
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: interaction techniques and environments - Volume Part II
Real-Time expression mapping with ratio image
ICESS'05 Proceedings of the Second international conference on Embedded Software and Systems
Rotation-Invariant facial feature detection using gabor wavelet and entropy
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Optimal face classification by using nonsingular discriminant waveletfaces for a face recognition
ICADL'05 Proceedings of the 8th international conference on Asian Digital Libraries: implementing strategies and sharing experiences
Automatic detailed localization of facial features
IEA/AIE'12 Proceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence
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We present a technique for facial feature localization using a two-level hierarchical wavelet network. The first level wavelet network is used for face matching, and yields an affine transformation used for a rough approximation of feature locations. Second level wavelet networks for each feature are then used to fine-tune the feature locations.Construction of a training database containing hierarchical wavelet networks of many faces allows features to be detected in most faces. Experiments show that facial feature localization benefits significantly from the hierarchical approach. Results compare favorably with existing techniques for feature localization.