Abstract
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 results show that interactivity can be obtained with occlusion query technique and that for real time we need a hybrid software and hardware technique.
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Andújar, C., Vázquez, P.P., Fairén, M.: Way-Finder: guided tours through complex walkthrough models, Computer Graphics Forum (Eurographics 2004) (2004)
Barral, P., Dorme, G., Plemenos, D.: Scene understanding techniques using a virtual camera. Eurographics, Interlagen (Switzerland), Short papers proceedings (August 20-25, 2000)
Barral, P., Dorme, G., Plemenos, D.: Visual understanding of a scene by automatic movement of a camera. In: International Conference GraphiCon 1999, Moscow, Russia, August 26–September 3 (1999)
Jolivet, V., Plemenos, D., Sbert, M.: A pyramidal hemisphere subdivision method for Monte Carlo radiosity, Eurographics 1999 Short Papers proceedings
Feixas, M.: An Information Theory Framework for the Study of the Complexity of Visibility and Radiosity in a Scene. PhD thesis, Technical University of Catalonia (2002)
Plemenos, D.: Exploring Virtual Worlds: Current Techniques and Future Issues. In: International Conference GraphiCon 2003, Moscow, Russia, September 5-10 (2003)
Vázquez, P.P., Feixas, M., Sbert, M., Heidrich, W.: Viewpoint Selection Using Viewpoint Entropy. In: Vision, Modeling, and Visualization 2001, Stuttgart, Germany, pp. 273–280 (2001)
Vázquez, P.P., Feixas, M., Sbert, M., Llobet, A.: Viewpoint Entropy: A New Tool for Obtaining Good Views for Molecules. In: VisSym 2002 Eurographics - IEEE TCVG Symposium on Visualization, Barcelona, Spain (2002)
Vázquez, P.P.: PhD thesis, On the Selection of Good Views and its Application to Computer Graphics. Technical University of Catalonia (2003)
Vázquez, P.P., Feixas, M., Sbert, M., Heidrich, W.: Automatic View Selection Using Viewpoint Entropy and its Application to Image-Based Modeling. Computer Graphics Forum (December 2003)
Vázquez, P.P., Sbert, M.: On the fly best view detection using graphics hardware 4th IASTED International Conference on Visualization. In: Imaging, and Image Processing VIIP (2004)
Vázquez, P.P., Sbert, M.: Automatic indoor scene exploration. In: International Conference on Artificial Intelligence and Computer Graphics, 3IA, Limoges (May 2003)
Rigau, J., Feixas, M., Sbert, M.: Information Theory Point Measures in a Scene. IIiA-00-08-RR, Institut d’Informàtica i Aplicacions, Universitat de Girona, Girona, Spain (2000)
Rigau, J., Feixas, M., Sbert, M.: Entropy-Based Adaptive Sampling. Graphics Interface 2003, Halifax, Canada (June 2003)
Sbert, M., Feixas, M., Rigau, J., Castro, F., Vázquez, P.P.: Applications of Information Theory to Computer Graphics. In: Proceedings of 5th International Conference on Computer Graphics and Artificial Intelligence, 3IA 2002, Limoges, France, pp. 21–36 (2002)
Segal, M., Akeley, K.: The OpenGL Graphics System: A Specification (Version 2.0 – October 22, 2004). Silicon Graphics, Inc. (2004)
Wilen, A., Schade, J., Thornburg, R.: Introduction to PCI Express. A Hardware and Software Developer’s Guide. Intel Press, Hillsboro (2003)
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Castelló, P., Sbert, M., Chover, M., Feixas, M. (2006). Techniques for Computing Viewpoint Entropy of a 3D Scene. In: Alexandrov, V.N., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds) Computational Science – ICCS 2006. ICCS 2006. Lecture Notes in Computer Science, vol 3992. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11758525_35
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DOI: https://doi.org/10.1007/11758525_35
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