Proceedings of the 7th conference on Visualization '96
Virtual voyage: interactive navigation in the human colon
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
A framework for assisted exploration with collaboration
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
Maximum entropy light source placement
Proceedings of the conference on Visualization '02
Viewpoint Selection using Viewpoint Entropy
VMV '01 Proceedings of the Vision Modeling and Visualization Conference 2001
ACM SIGGRAPH 2005 Papers
Volume Tracking Using Higher Dimensional Isosurfacing
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
High Dimensional Direct Rendering of Time-Varying Volumetric Data
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Curvature-Based Transfer Functions for Direct Volume Rendering: Methods and Applications
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Technical Section: Realtime automatic selection of good molecular views
Computers and Graphics
Perception-based illumination information measurement and light source placement
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartIII
Smooth and efficient zooming and panning
INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization
Evaluation of illustration-inspired techniques for time-varying data visualization
EuroVis'08 Proceedings of the 10th Joint Eurographics / IEEE - VGTC conference on Visualization
Conjoint Analysis to Measure the Perceived Quality in Volume Rendering
IEEE Transactions on Visualization and Computer Graphics
Representative Views and Paths for Volume Models
SG '08 Proceedings of the 9th international symposium on Smart Graphics
An Efficient Quality-Based Camera Path Planning Method for Volume Exploration
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Motion lenses: cinematography-based viewpoint selection for motion data
Proceedings of the 2009 Computer Graphics International Conference
Information theory in computer graphics and visualization
SIGGRAPH Asia 2011 Courses
Entropy assisted automated terrain navigation using traveling salesman problem
Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry
Viewpoint selection based on NM-PSO for volume rendering
ICIC'12 Proceedings of the 8th international conference on Intelligent Computing Theories and Applications
An information-theoretic ambient occlusion
Computational Aesthetics'07 Proceedings of the Third Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
VEA 2012: Automatic path generation for terrain navigation
Computers and Graphics
Representational image generation for 3D objects
The Visual Computer: International Journal of Computer Graphics
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Animation is an effective way to show how time-varying phenomena evolve over time. A key issue of generating a good animation is to select ideal views through which the user can perceive the maximum amount of information from the time-varying dataset. In this paper, we first propose an improved view selection method for static data. The method measures the quality of a static view by analyzing the opacity, color and curvature distributions of the corresponding volume rendering images from the given view. Our view selection metric prefers an even opacity distribution with a larger projection area, a larger area of salient features' colors with an even distribution among the salient features, and more perceived curvatures. We use this static view selection method and a dynamic programming approach to select time-varying views. The time-varying view selection maximizes the information perceived from the time-varying dataset based on the constraints that the time-varying view should show smooth changes of direction and near-constant speed. We also introduce a method that allows the user to generate a smooth transition between any two views in a given time step, with the perceived information maximized as well. By combining the static and dynamic view selection methods, the users are able to generate a time-varying view that shows the maximum amount of information from a time-varying data set.