Elements of information theory
Elements of information theory
Viewpoint entropy: a new tool for obtaining good views of molecules
VISSYM '02 Proceedings of the symposium on Data Visualisation 2002
Viewpoint Selection using Viewpoint Entropy
VMV '01 Proceedings of the Vision Modeling and Visualization Conference 2001
Importance-Driven Focus of Attention
IEEE Transactions on Visualization and Computer Graphics
LiveSync: Deformed Viewing Spheres for Knowledge-Based Navigation
IEEE Transactions on Visualization and Computer Graphics
Viewpoint-based simplification using f-divergences
Information Sciences: an International Journal
Technical Section: Viewpoint-driven simplification using mutual information
Computers and Graphics
A unified information-theoretic framework for viewpoint selection and mesh saliency
ACM Transactions on Applied Perception (TAP)
Geometry and image based view quality comparison for 3D models
Proceedings of the 26th Spring Conference on Computer Graphics
Automatic upright orientation and good view recognition for 3D man-made models
Pattern Recognition
Viewpoint selection for angiographic volume
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
An information-theoretic ambient occlusion
Computational Aesthetics'07 Proceedings of the Third Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
Automatic views of natural scenes
Computational Aesthetics'09 Proceedings of the Fifth Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
VEA 2012: Automatic path generation for terrain navigation
Computers and Graphics
Best view methods suitability for different types of objects
Proceedings of the 28th Spring Conference on Computer Graphics
Representational image generation for 3D objects
The Visual Computer: International Journal of Computer Graphics
SMI 2013: Illustrating the disassembly of 3D models
Computers and Graphics
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Several methods that use the notion of viewpoint quality have been recently introduced in different areas of computer graphics, such as scene understanding, exploration of virtual worlds, radiosity and global illumination, image-based rendering and modelling. In this paper, we analyze the behavior of three different viewpoint quality measures. The first one is a heuristic measure, the second one is the viewpoint entropy, and the third one is a new measure based on the Kullback-Leibler distance between the projected and actual distributions of the areas of the polygons in the scene. In addition, this paper reviews different applications and introduces a new algorithm using the Kullback-Leibler distance for the selection of a representative set of n views. Our method is based in selecting the view that minimizes the Kullback-Leibler distance between the mixture of the distributions of all selected views and the actual area distribution.