Automatic eyes and nose detection using curvature analysis
Matías Di Martino, Alicia Fernández, José Ferrari
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications : 20th Iberoamerican Congress, CIARP 2015, Montevideo, Uruguay, November 9-12, 2015, Proceedings, Lecture Notes in Computer Science, Volume 9423, Springer, , page 271--278- 2015
Research group(s):  Tratamiento de Imagenes (gti)
Department(s):  Procesamiento de Señales
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In the present work we propose a method for detecting the nose and eyes position when we observe a scene that contains a face. The main goal of the proposed technique is that it capable of bypassing the 3D explicit mapping of the face and instead take advantage of the information available in the Depth gradient map of the face. To this end we will introduce a simple false positive rejection approach restricting the distance between the eyes, and between the eyes and the nose. The main idea is to use nose candidates to estimate those regions where is expected to find the eyes, and vice versa. Experiments with Texas database are presented and the proposed approach is testes when data presents different power of noise and when faces are in different positions with respect to the camera.

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» Matías Di Martino
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» José Ferrari