Pascual Castelló

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Viewpoint entropy is a metric that allows measuring the visibility goodness of a scene from a camera position. In this work, we analyze different software and hardware assisted techniques to compute the viewpoint entropy. The main objective of this study is to identify which of these techniques can be used in real time for 3D scenes of high complexity. Our(More)
In this paper, a new viewpoint-based simplification approach is proposed for polygonal meshes. This approach is driven by an information-theoretic metric, viewpoint entropy, which measures the amount of information from a scene or object that arrives at a certain viewpoint. Our algorithm applies the best half-edge collapse as a decimation criterion and uses(More)