Subject independent facial expression recognition with robust face detection using a convolutional neural network

[1]  Michael J. Black,et al.  Recognizing Facial Expressions in Image Sequences Using Local Parameterized Models of Image Motion , 1997, International Journal of Computer Vision.

[2]  Kunihiko Fukushima,et al.  Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position , 1980, Biological Cybernetics.

[3]  Beat Fasel,et al.  Robust face analysis using convolutional neural networks , 2002, Object recognition supported by user interaction for service robots.

[4]  Katsuhiko Mori,et al.  Convolutional spiking neural network model for robust face detection , 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

[5]  Samy Bengio,et al.  The Handbook of Brain Theory and Neural Networks , 2002 .

[6]  M. Matsugu.  Hierarchical pulse-coupled neural network model with temporal coding and emergent feature binding mechanism , 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

[7]  Marian Stewart Bartlett,et al.  Classifying Facial Actions , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Osamu Nakamura,et al.  The recognition of facial expressions considering the difference between individualities , 1999 .

[9]  Yoshua Bengio,et al.  Convolutional networks for images, speech, and time series , 1998 .

[10]  E. Rolls,et al.  INVARIANT FACE AND OBJECT RECOGNITION IN THE VISUAL SYSTEM , 1997, Progress in Neurobiology.

[11]  Larry S. Davis,et al.  Human expression recognition from motion using a radial basis function network architecture , 1996, IEEE Trans. Neural Networks.

[12]  Larry S. Davis,et al.  Recognizing Human Facial Expressions From Long Image Sequences Using Optical Flow , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[13]  D. Signorini,et al.  Neural networks , 1995, The Lancet.

[14]  Michael J. Black,et al.  Tracking and recognizing rigid and non-rigid facial motions using local parametric models of image motion , 1995, Proceedings of IEEE International Conference on Computer Vision.

[15]  Peter Földiák,et al.  Learning Invariance from Transformation Sequences , 1991, Neural Comput..