Facial Features detection by Saccadic Exploration of the Gabor decomposition and Support Vector Machines
نویسندگان
چکیده
Facial features detection is of primary importance to face authentication and recognition. In this paper, we present an attention{driven approach to eyes and mouth detection inspired by the human saccadic system. The algorithm is centred around a log{polar retinotopic grid that is used to sample the Gabor decomposition of the image. Detection is achieved by displacing the grid according to a saccadic pattern. Sac-cade planning is performed using eye and mouth models implemented by means of Support Vector Machine classiiers.
منابع مشابه
Facial Feature Detection by Saccadic Exploration of the Gabor Decomposition
The Gabor decomposition is a ubiquitous tool in computer vision. Nevertheless, it is generally considered computationally demanding for active vision applications. We suggest an attention{driven approach to feature detection inspired by the human saccadic system. A dramatic speedup is achieved by computing the Gabor decomposition only on the points of a sparse retinotopic grid. An application t...
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