Thiago Lombardi GASPARMaria Stela Veludo de Paiva

Complementing the SEI-IDEAL Model with Deployers' Real Experiences: The need to address human factors in SPI initiatives

This paper presents an automatic methodology based on vertical and horizontal projectionfor facial features extraction. This methodology is applied on digital images of faces, to locate the eyes and nose. With these informations, the face features points are extracted and then is created a facial features vector. The algorithm was developed on Matlab version 6.5, using the toolbox of imageprocessing.

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Biblioteca Digital Brasileira de Computação - Contato:
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