A simple method for computing general position in displaying three-dimensional objects
Computer Vision, Graphics, and Image Processing
Hierarchical back-face computation
Proceedings of the eurographics workshop on Rendering techniques '96
Viewpoint Selection using Viewpoint Entropy
VMV '01 Proceedings of the Vision Modeling and Visualization Conference 2001
ACM SIGGRAPH 2005 Papers
MIP-Guided vascular image visualization with multi-dimensional transfer function
CGI'06 Proceedings of the 24th international conference on Advances in Computer Graphics
Viewpoint quality: measures and applications
Computational Aesthetics'05 Proceedings of the First Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
LiveSync: Deformed Viewing Spheres for Knowledge-Based Navigation
IEEE Transactions on Visualization and Computer Graphics
LiveSync++: enhancements of an interaction metaphor
GI '08 Proceedings of graphics interface 2008
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
Technical Section: Viewpoint information channel for illustrative volume rendering
Computers and Graphics
Visual support for interactive post-interventional assessment of radiofrequency ablation therapy
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
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In this paper, we present a novel viewpoint selection framework for angiographic volume data. We propose several view descriptors based on typical concerns of clinicians for the view evaluation. Compared with conventional approaches, our method can deliver a more representative global optimal view by sampling at a much higher rate in the view space. Instead of performing analysis on sample views individually, we construct a solution space to estimate the quality of the views. Descriptor values are propagated to the solution space where an efficient searching process can be performed. The best viewpoint can be found by analyzing the accumulated descriptor values in the solution space based on different visualization goals.