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University of São Paulo Institute of Mathematics and Statistics Department of Computer Science Locating and Tracking Facial Landmarks with Gabor Wavelet Networks. Rogério Schmidt Feris Roberto Marcondes Cesar Junior {rferis,cesar}@ime.usp.br. Outline . Motivation
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University of São Paulo Institute of Mathematics and Statistics Department of Computer Science Locating and Tracking Facial Landmarks with Gabor Wavelet Networks Rogério Schmidt Feris Roberto Marcondes Cesar Junior {rferis,cesar}@ime.usp.br
Outline • Motivation • Face Representation Using GWNs • Locating and Tracking Facial Landmarks • Experimental Results • Conclusions
Motivation • Face Recognition from Video Sequences • Problem Assumptions
Gabor Wavelet Networks • Wavelet Networks • Mother Wavelet: Odd-Gabor Function
Face Representation Using GWNs Original Image Wavelet Representation Wavelet parameters are chosen from the continuous parameters space !!
Face Representation Using GWNs • Progressive Attention Interest 32, 52, 100 and 320 wavelets • Direct Calculation of Weights
Face Representation Using GWNs • GWN Reparametrization
Face Representation Using GWNs • Superwavelet • Reparametrization
Locating Facial Landmarks • Reparametrization in Different Individuals • Optimization Using a Mean Face (Small Databases) • Locating Facial Landmarks • Yale Face Database
Tracking Facial Landmarks • Reparametrization in each Frame • Overall Face Geometry is Considered • Robustness and Efficiency
Experimental Results • Face Detection • Positioning of Facial Landmarks • Tracking of Face and Facial Landmarks http://www.ime.usp.br/~rferis
Conclusions • Method Efficient and Robust • Limitations • Future Work • Improve Positioning of Facial Landmarks • 3D Wavelet Model
Questions ? Rogério Schmidt Feris rferis@ime.usp.br http://www.ime.usp.br/~rferis