Title :
Real-time view-based face alignment using active wavelet networks
Author :
Hu, Changbo ; Feris, Rogerio ; Turk, Matthew
Author_Institution :
Dept. of Comput. Sci., California Univ., Santa Barbara, CA, USA
Abstract :
The active wavelet network (AWN) [C. Hu et al., (2003)] approach was recently proposed for automatic face alignment, showing advantages over active appearance models (AAM), such as more robustness against partial occlusions and illumination changes. We (1) extend the AWN method to a view-based approach, (2) verify the robustness of our algorithm with respect to unseen views in a large dataset and (3) show that using only nine wavelets, our method yields similar performance to state-of-the-art face alignment systems, with a significant enhancement in terms of speed. After optimization, our system requires only 3 ms per iteration on a 1.6 GHz Pentium IV. We show applications in face alignment for recognition and real-time facial feature tracking under large pose variations.
Keywords :
face recognition; feature extraction; learning (artificial intelligence); principal component analysis; wavelet transforms; active appearance model; active wavelet network; face recognition; facial feature tracking; partial occlusion; real-time view-based face alignment; statistical shape model; training dataset; Active appearance model; Active shape model; Face detection; Face recognition; Facial features; Image reconstruction; Lighting; Principal component analysis; Real time systems; Robustness;
Conference_Titel :
Analysis and Modeling of Faces and Gestures, 2003. AMFG 2003. IEEE International Workshop on
Print_ISBN :
0-7695-2010-3
DOI :
10.1109/AMFG.2003.1240846