Elements of information theory
Elements of information theory
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Document clustering using word clusters via the information bottleneck method
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Viewpoint Selection using Viewpoint Entropy
VMV '01 Proceedings of the Vision Modeling and Visualization Conference 2001
Artistic Composition for Image Creation
Proceedings of the 12th Eurographics Workshop on Rendering Techniques
Fast, Realistic Lighting for Video Games
IEEE Computer Graphics and Applications
ACM SIGGRAPH 2005 Papers
Salient geometric features for partial shape matching and similarity
ACM Transactions on Graphics (TOG)
Towards Stable and Salient Multi-View Representation of 3D Shapes
SMI '06 Proceedings of the IEEE International Conference on Shape Modeling and Applications 2006
Saliency-guided Enhancement for Volume Visualization
IEEE Transactions on Visualization and Computer Graphics
Importance-Driven Focus of Attention
IEEE Transactions on Visualization and Computer Graphics
Technical Section: Realtime automatic selection of good molecular views
Computers and Graphics
Viewpoint quality: measures and applications
Computational Aesthetics'05 Proceedings of the First Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
Volume composition using eye tracking data
EUROVIS'06 Proceedings of the Eighth Joint Eurographics / IEEE VGTC conference on Visualization
Viewpoint-based simplification using f-divergences
Information Sciences: an International Journal
Technical Section: Viewpoint-driven simplification using mutual information
Computers and Graphics
User-assisted simplification method for triangle meshes preserving boundaries
Computer-Aided Design
Mesh saliency and human eye fixations
ACM Transactions on Applied Perception (TAP)
Saliency for animated meshes with material properties
Proceedings of the 7th Symposium on Applied Perception in Graphics and Visualization
Technical Section: Viewpoint information channel for illustrative volume rendering
Computers and Graphics
Automatic upright orientation and good view recognition for 3D man-made models
Pattern Recognition
Automatic views of natural scenes
Computational Aesthetics'09 Proceedings of the Fifth Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
Interactive volume illustration using intensity filtering
Computational Aesthetics'10 Proceedings of the Sixth international conference on Computational Aesthetics in Graphics, Visualization and Imaging
Obscurance-based volume rendering framework
SPBG'08 Proceedings of the Fifth Eurographics / IEEE VGTC conference on Point-Based Graphics
VEA 2012: Automatic path generation for terrain navigation
Computers and Graphics
Proceedings of the 4th ACM Multimedia Systems Conference
Representational image generation for 3D objects
The Visual Computer: International Journal of Computer Graphics
Mesh saliency with global rarity
Graphical Models
Mesh saliency via spectral processing
ACM Transactions on Graphics (TOG)
Viewpoint information-theoretic measures for 3D shape similarity
Proceedings of the 12th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry
Bandwidth adaptation for 3D mesh preview streaming
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special issue of best papers of ACM MMSys 2013 and ACM NOSSDAV 2013
An information-theoretic observation channel for volume visualization
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
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Viewpoint selection is an emerging area in computer graphics with applications in fields such as scene exploration, image-based modeling, and volume visualization. In particular, best view selection algorithms are used to obtain the minimum number of views (or images) in order to understand or model an object or scene better. In this article, we present a unified framework for viewpoint selection and mesh saliency based on the definition of an information channel between a set of viewpoints (input) and the set of polygons of an object (output). The mutual information of this channel is shown to be a powerful tool to deal with viewpoint selection, viewpoint stability, object exploration and viewpoint-based saliency. In addition, viewpoint mutual information is extended using saliency as an importance factor, showing how perceptual criteria can be incorporated to our method. Although we use a sphere of viewpoints around an object, our framework is also valid for any set of viewpoints in a closed scene. A number of experiments demonstrate the robustness of our approach and the good behavior of the proposed measures.