Title :
Online facial expression recognition based on personalized galleries
Author :
Hong, Hai ; Neven, Hartmut ; von der Malsburg, C.
Author_Institution :
Lab. for Comput. & Biol. Vision, Univ. of Southern California, Los Angeles, CA, USA
Abstract :
An online facial expression recognition system based on personalized galleries is presented. This system is built on the framework of the PersonSpotter system, which is able to track and detect the face of a person in a live video sequence. By utilizing the recognition method of Elastic Graph Matching, the most similar person whose images are stored in the gallery can be found, then the personalized gallery of this person is used to recognize the expression on the probe face. A personalized gallery consists of images of the same person showing different facial expressions. Node weighting and weighted voting in addition to Elastic Graph Matching are applied to identify the expression. The performance achieved by this system shows its great potential
Keywords :
face recognition; image sequences; visual databases; PersonSpotter system; elastic graph matching; live video sequence; node weighting; online facial expression recognition; personalized galleries; weighted voting; Biology computing; Computer interfaces; Computer vision; Face detection; Face recognition; Image recognition; Laboratories; Optical devices; Probes; Voting;
Conference_Titel :
Automatic Face and Gesture Recognition, 1998. Proceedings. Third IEEE International Conference on
Conference_Location :
Nara
Print_ISBN :
0-8186-8344-9
DOI :
10.1109/AFGR.1998.670974
