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Brief description of the voice recognition in visual monitoring of local deformations of a set of points of interest of the mouth of the speaker.
Brief description of the voice recognition in visual monitoring of local deformations of a set of points of interest of the mouth of the speaker.
This method comprises steps of: a) for each point of interest of each image, the calculation of a local descriptor gradient and of a local descriptor movement; b) construction of the microstructures of n points of interest, each defined by a tuple of the order of order n ≧ 1; c) is determined for each tuple of a vector of visual characteristics structured (d0.. d3...) from the local descriptors; d) for each tuple, map - page of this vector by a classification algorithm selecting a codeword single from among a set of codewords forming a code - book (cb); e) the generation of a temporal series the ordinate of the codewords (a0.. a3...) for the successive images of the video sequence; and f) extent, by means of a function of the string kernel, the similarity of the temporal series of codewords with a temporal series of code - words from another speaker.
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