Principles and practice of information theory
Principles and practice of information theory
A simple method for computing general position in displaying three-dimensional objects
Computer Vision, Graphics, and Image Processing
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Radioptimization: goal based rendering
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Design galleries: a general approach to setting parameters for computer graphics and animation
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Viewpoint entropy: a new tool for obtaining good views of molecules
VISSYM '02 Proceedings of the symposium on Data Visualisation 2002
Maximum entropy light source placement
Proceedings of the conference on Visualization '02
Inverse Direct Lighting with a Monte Carlo Method and Declarative Modelling
ICCS '02 Proceedings of the International Conference on Computational Science-Part II
Viewpoint Selection using Viewpoint Entropy
VMV '01 Proceedings of the Vision Modeling and Visualization Conference 2001
Unified Approach to Prefiltered Environment Maps
Proceedings of the Eurographics Workshop on Rendering Techniques 2000
Sketching Shadows and Highlights to Position Lights
CGI '97 Proceedings of the 1997 Conference on Computer Graphics International
Lighting design: a goal based approach using optimisation
EGWR'99 Proceedings of the 10th Eurographics conference on Rendering
Dynamic View Selection for Time-Varying Volumes
IEEE Transactions on Visualization and Computer Graphics
Energy-saving light positioning using heuristic search
Engineering Applications of Artificial Intelligence
An information-theoretic observation channel for volume visualization
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
| Hi-index | 0.00 |
The automatic selection of good viewing parameters is very complex. In most cases, the notion of good strongly depends on the concrete application. Moreover, when an intuitive definition of good view is available, it is often difficult to establish a measure that brings it to the practice. Commonly, two kind of viewing parameters must be set: the position and orientation of the camera, and the ones relative to light sources. The first ones will determine how much of the geometry can be captured and the latter will influence on how much of it is revealed (i. e. illuminated) to the user. In this paper we will define a metric to calculate the amount of information relative to an object that is communicated to the user given a fixed camera position. This measure is based on an information-based concept, the Shannon entropy, and will be applied to the problem of automatic selection of light positions in order to adequately illuminate an object.