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    View-based Shape Similarity using Mutual Information Spheres
    (The Eurographics Association, 2007) García, Francisco González; Feixas, Miquel; Sbert, Mateu; Paolo Cignoni and Jiri Sochor
    We present a new method for computing the shape similarity between 3D polygonal models using an informationtheoretic viewpoint selection framework. Given a 3D model, a sphere of viewpoints surrounding this model is used to obtain its shape signature from the mutual information of each viewpoint. This signature represents the essence of the shape from a view-based approach. Then, in order to quantify the dissimilarity between two models, their mutual information spheres are registered by minimizing the L2 distance between them. Several experiments show the discrimination capabilities of our approach and its potential suitability for object recognition.
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    Applications of Information Theory to Computer Graphics
    (The Eurographics Association, 2007) Sbert, Mateu; Feixas, Miquel; Rigau, Jaume; Viola, Ivan; Chover, Miguel; Karol Myszkowski and Vlastimil Havran
    We present different applications of information theory to computer graphics, based on the use of the measures of entropy, mutual information, f-divergences and generalized entropies. The application areas are hierarchical radiosity, adaptive ray-tracing, selection of best viewpoints, object and scene exploration, mesh saliency, mesh simplification and scientific visualization. We also give some hints on information-theoretic applications to object recognition and image processing.