Title :
Recognition of facial expressions using associative memory
Author :
Iwano, Yuri ; Yoneyama, Masahide ; Shirai, Katsuhiko
Author_Institution :
Sch. of Sci. & Eng., Waseda Univ., Tokyo, Japan
Abstract :
We extract the movements of 8×10 regions of the face by using optical flow and simplify the information by considering whether a particular region of the face moved or not. By applying this information in a Hopfield neural network based on a discrete model, we try to absorb the differences between individuals and the degree of feelings effectively. We carried out an experiment with 144 examples of image data. The results of before and after applying the data in the Hopfield neural network were 61.8% and 71.5% respectively
Keywords :
Hopfield neural nets; associative processing; content-addressable storage; face recognition; feature extraction; image sequences; motion estimation; Hopfield neural network; associative memory; discrete model; experiment; facial expression recognition; image data; image region motion; optical flow; Associative memory; Brightness; Data mining; Face recognition; Feature extraction; Hopfield neural networks; Humans; Image resolution; Knowledge management; Speech;
Conference_Titel :
Digital Signal Processing Workshop Proceedings, 1996., IEEE
Conference_Location :
Loen
Print_ISBN :
0-7803-3629-1
DOI :
10.1109/DSPWS.1996.555506
