Information-Theoretic Refinement Criteria for Image Synthesis - An Intersection between Computer Graphics, Information Theory, and Complexity

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9783836477314: Information-Theoretic Refinement Criteria for Image Synthesis - An Intersection between Computer Graphics, Information Theory, and Complexity
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This work is framed within the context of computer graphics starting out from the intersection of three fields: rendering, information theory, and complexity. Initially, the concept of scene complexity is analysed from a geometric visibility point of view. Then, the main focus of this dissertation, the development of new refinement criteria for the global illumination problem is presented. Firstly, based on Shannon entropy, a set of pixel measures are defined. They are applied to supersampling in ray-tracing as refinement criteria, obtaining a new entropy-based adaptive sampling algorithm with a high rate quality versus cost. Secondly, based on Harvda-Charvát-Tsallis generalised entropy, new refinement criteria are defined for hierarchical radiosity. Oracles based on transported information, information smoothness, and mutual information are presented, with very significant results for the latter. And finally, three f-divergences are analysed as refinement criteria. These measures give us a rich variety of efficient and highly discriminative measures which are applicable to rendering in its pixel-driven (ray-tracing) and object-space (hierarchical radiosity) approaches.

Biografía del autor:

Jaume Rigau is associate professor in Computer Science and member of the Graphics and Imaging Laboratory at the University of Girona, Spain. His research is based on the application of information theory to computer graphics and image processing. Rigau received the MS and PhD in Computer Science from the Technical University of Catalonia, Barcelona, Spain.

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Descripción Condición: New. Publisher/Verlag: VDM Verlag Dr. Müller | An Intersection between Computer Graphics, Information Theory, and Complexity | This work is framed within the context of computer graphics starting out from the intersection of three fields: rendering, information theory, and complexity.Initially, the concept of scene complexity is analysed from a geometric visibility point of view. Then, the main focus of this dissertation, the development of new refinement criteria for the global illumination problem is presented.Firstly, based on Shannon entropy, a set of pixel measures are defined. They are applied to supersampling in ray-tracing as refinement criteria, obtaining a new entropy-based adaptive sampling algorithm with a high rate quality versus cost. Secondly, based on Harvda-Charvát-Tsallis generalised entropy, new refinement criteria are defined for hierarchical radiosity. Oracles based on transported information, information smoothness, and mutual information are presented, with very significant results for the latter. And finally, three f-divergences are analysed as refinement criteria.These measures give us a rich variety of efficient and highly discriminative measures which are applicable to rendering in its pixel-driven (ray-tracing) and object-space (hierarchical radiosity) approaches. | Format: Paperback | Language/Sprache: english | 285 gr | 220x150x11 mm | 208 pp. Nº de ref. del artículo: K9783836477314

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Jaume Rigau Vilalta
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Descripción VDM Verlag Dr. Müller E.K. Nov 2013, 2013. Taschenbuch. Condición: Neu. Neuware - This work is framed within the context of computer graphics starting out from the intersection of three fields: rendering, information theory, and complexity. Initially, the concept of scene complexity is analysed from a geometric visibility point of view. Then, the main focus of this dissertation, the development of new refinement criteria for the global illumination problem is presented. Firstly, based on Shannon entropy, a set of pixel measures are defined. They are applied to supersampling in ray-tracing as refinement criteria, obtaining a new entropy-based adaptive sampling algorithm with a high rate quality versus cost. Secondly, based on Harvda-Charvát-Tsallis generalised entropy, new refinement criteria are defined for hierarchical radiosity. Oracles based on transported information, information smoothness, and mutual information are presented, with very significant results for the latter. And finally, three f-divergences are analysed as refinement criteria. These measures give us a rich variety of efficient and highly discriminative measures which are applicable to rendering in its pixel-driven (ray-tracing) and object-space (hierarchical radiosity) approaches. 208 pp. Deutsch. Nº de ref. del artículo: 9783836477314

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Jaume Rigau Vilalta
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Descripción VDM Verlag Dr. Müller E.K. Nov 2013, 2013. Taschenbuch. Condición: Neu. Neuware - This work is framed within the context of computer graphics starting out from the intersection of three fields: rendering, information theory, and complexity. Initially, the concept of scene complexity is analysed from a geometric visibility point of view. Then, the main focus of this dissertation, the development of new refinement criteria for the global illumination problem is presented. Firstly, based on Shannon entropy, a set of pixel measures are defined. They are applied to supersampling in ray-tracing as refinement criteria, obtaining a new entropy-based adaptive sampling algorithm with a high rate quality versus cost. Secondly, based on Harvda-Charvát-Tsallis generalised entropy, new refinement criteria are defined for hierarchical radiosity. Oracles based on transported information, information smoothness, and mutual information are presented, with very significant results for the latter. And finally, three f-divergences are analysed as refinement criteria. These measures give us a rich variety of efficient and highly discriminative measures which are applicable to rendering in its pixel-driven (ray-tracing) and object-space (hierarchical radiosity) approaches. 208 pp. Deutsch. Nº de ref. del artículo: 9783836477314

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Jaume Rigau Vilalta
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Descripción VDM Verlag Dr. Mueller e.K., Germany, 2013. Paperback. Condición: New. Language: English . Brand New Book ***** Print on Demand *****.This work is framed within the context of computer graphics starting out from the intersection of three fields: rendering, information theory, and complexity. Initially, the concept of scene complexity is analysed from a geometric visibility point of view. Then, the main focus of this dissertation, the development of new refinement criteria for the global illumination problem is presented. Firstly, based on Shannon entropy, a set of pixel measures are defined. They are applied to supersampling in ray-tracing as refinement criteria, obtaining a new entropy-based adaptive sampling algorithm with a high rate quality versus cost. Secondly, based on Harvda-Charvat-Tsallis generalised entropy, new refinement criteria are defined for hierarchical radiosity. Oracles based on transported information, information smoothness, and mutual information are presented, with very significant results for the latter. And finally, three f-divergences are analysed as refinement criteria. These measures give us a rich variety of efficient and highly discriminative measures which are applicable to rendering in its pixel-driven (ray-tracing) and object-space (hierarchical radiosity) approaches. Nº de ref. del artículo: AAV9783836477314

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Jaume Rigau Vilalta
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Descripción VDM Verlag Dr. Müller E.K. Nov 2013, 2013. Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Neuware - This work is framed within the context of computer graphics starting out from the intersection of three fields: rendering, information theory, and complexity. 208 pp. Deutsch. Nº de ref. del artículo: 9783836477314

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Descripción VDM Verlag. Paperback. Condición: New. 208 pages. Dimensions: 8.9in. x 5.9in. x 0.6in.This work is framed within the context of computer graphics starting out from the intersection of three fields: rendering, information theory, and complexity. Initially, the concept of scene complexity is analysed from a geometric visibility point of view. Then, the main focus of this dissertation, the development of new refinement criteria for the global illumination problem is presented. Firstly, based on Shannon entropy, a set of pixel measures are defined. They are applied to supersampling in ray-tracing as refinement criteria, obtaining a new entropy-based adaptive sampling algorithm with a high rate quality versus cost. Secondly, based on Harvda-Charvt-Tsallis generalised entropy, new refinement criteria are defined for hierarchical radiosity. Oracles based on transported information, information smoothness, and mutual information are presented, with very significant results for the latter. And finally, three f-divergences are analysed as refinement criteria. These measures give us a rich variety of efficient and highly discriminative measures which are applicable to rendering in its pixel-driven (ray-tracing) and object-space (hierarchical radiosity) approaches. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Nº de ref. del artículo: 9783836477314

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