| Título: | Automated Face Detection in Color Images using Skin Region and Adaptive template Matching |
| Autores: | Beedimani, Chandrashekar M; Dr. Chandrashekar M. Beedimani Guest faculty, Department of Commerce, Gulbarga University, Gulbarga. |
| Fecha: | 2012-10-29 |
| Publicador: | International journal of computer and electronics research |
| Fuente: |
 |
| Tipo: | Peer-reviewed Article |
| Tema: |
Face Detection, Color Models, Skin Color Extraction, Adaptive Template Matching. image processing; pattern recognition; |
| Descripción: | Face detection is the essential front end of any face recognition system, which locates and segregates face regions from cluttered images, either obtained from video or still image. It also has numerous applications in areas like surveillance and security control systems, content-based image retrieval, video conferencing and intelligent human-computer inter-faces. Most of the current face recognition systems presume that faces are readily available for processing. However, in reality, we do not get images with just faces. We need a system, which will detect, locate and segregate faces in cluttered images, so that these segregated faces can be given as input to face recognition systems. In this paper, we address the problem of face detection in still images by using skin color region extraction and adaptive template matching method. |
| Idioma: | Inglés |
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