Abstract
View path design is used to generate proper animations for time-varying volume datasets, and it is crucial to show the evolution of features in the animation. In this paper, we present a novel view path design method to display the evolution of features with their topology. Firstly, feature extraction and tracking methods are employed to capture the temporal feature evolution. Then, the viewpoint quality is estimated by combining the visual information based on the viewpoint mutual information with the topology information based on the skeletons of features. Temporal viewpoint coherence is further proposed to partition the time range, and the volume datasets in each time segment share a fixed viewpoint. At last, the viewpoints in adjacent time segments are linked with a smooth view path, by means of which the user is able to explore the complex feature evolution in the time-varying volume dataset. Experimental results demonstrate the utility of the proposed topology aware view path design method.
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Acknowledgments
The authors would like to thank the anonymous reviewers for their valuable comments. This work was partially supported by 863 Program Project under Grant No. 2012AA12A404, the National Key Technology Research and Development Program of the Ministry of Science and Technology of China under Grant No. 2014BAK14B01, National Natural Science Foundation of China under Grant No. 61303133, 61472354, and Zhejiang Science and Technology Plan of China under Grant No. 2014C31057. The turbulent vortex dataset is made available through an NSF ITR project. The turbulent combustion dataset is made available by Dr. Jackqueline Chen at Sandia Laboratories through US Department of Energy’s SciDAC Institute for Ultrascale Visuaization.
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Bai, Z., Yang, R., Zhou, Z. et al. Topology aware view path design for time-varying volume data. J Vis 19, 797–809 (2016). https://doi.org/10.1007/s12650-016-0358-6
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DOI: https://doi.org/10.1007/s12650-016-0358-6