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Pose-invariant face recognition systems for multimedia indexing require the prior registration of face images at multiple poses in a database, but it can be problematic and laborious to obtain and register appropriate imagery. We aim to automate the process by constructing 3D face models from the imagery available for registration, and then using the constructed models to generate templates for the...
An automatic pitch type recognition system has been developed. It is difficult to determine the pitch type automatically from a baseball broadcast video, so the decision is currently made by specialists that have expertise and experience in baseball. We developed a system incorporating expertise of professionals. The system identifies pitch type, such as straight balls and curveballs, from single-view...
We propose a new method of recognizing emotional factors from human gestures by analyzing motion capture (MoCap) data. It features multi-factorization processing combined with HMM recognition. The multi-factorization processing factorizes MoCap data into a third-order tensor that consists of spatial, statistical, and frequency-spatial components. This multi-factorization localizes the data in the...
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