Coding, Analysis, Interpretation, and Recognition of Facial Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Moving Object Tracking by Optimizing Active Models
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
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In recent years, much work on the recognition of facial expression, and the recognition of face and the methods are various. The algorithm for recognizing facial expression includes various preprocessing and core scheme for the detection of facial area, the detection of facial components and the recognition of facial expression. We propose a framework to implement the recognition facial expression through the algorithm which is composed of many steps. The framework allows a substitution and reuse of a step of the algorithm. A step of the algorithm is able to use and update individually. And we also propose an efficient method for each step. First of all, we propose multiresolution wavelet transform, 2d equilibrium state vector to search facial components at 3rd step. And we propose simple snake method to detect the feature point of a face.