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We have proposed a method for facial expression recognition for a speaker using thermal image processing and a speech recognition system. In this study, using a speech recognition system, we have improved our system to save thermal images at the three timing positions of just before speaking, and just speaking phonemes of the first and last vowels. In this method, the facial expressions were discriminable...
In this paper , we propose a new statistical learning algorithm. This study quantitatively verifies the effectiveness of its feature extraction performance for face information processing. Simple-FLDA is an algorithm based on a geometrical analysis of the Fisher linear discriminant analysis. As a high-speed feature extraction method, the present algorithm in this paper is the improved version of Simple-FLDA...
This paper proposes a face recognition algorithm in which the discrete Gabor transform is used to extract the image face features vector that is then feed into a multilayer perceptron to be carried out the recognition task. The features vector, estimated using the Gabor transform, presents a small intra-person variation while the inter-persons variation is considerably large. This fact provides robustness...
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