2 resultados para Semantic distance

em Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España


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Resumo:

The automatic extraction of biometric descriptors of anonymous people is a challenging scenario in camera networks. This task is typically accomplished making use of visual information. Calibrated RGBD sensors make possible the extraction of point cloud information. We present a novel approach for people semantic description and re-identification using the individual point cloud information. The proposal combines the use of simple geometric features with point cloud features based on surface normals.