Abstract
Volume visualization is an effective means for exploring information in volumetric data. To improve the visualization process, we propose a novel method for systematic revelation and illustration of the volume by presenting the data in a visual trail. Based on a novel propagation framework, we develop a feature and quality driven approach for viewpoint selection and camera path construction. Good candidate viewpoints selected are covered in the path. To connect the viewpoints in a proper manner, potential fields are established using the projection maps and camera paths are derived accordingly. This path planning method can deliver useful guidance for volume exploration. Experiments on volumetric datasets have been conducted for demonstration.
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Chan, MY., Mak, WH., Qu, H. (2008). An Efficient Quality-Based Camera Path Planning Method for Volume Exploration. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2008. Lecture Notes in Computer Science, vol 5359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89646-3_2
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DOI: https://doi.org/10.1007/978-3-540-89646-3_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89645-6
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