Abstract
Based on spherical parameterization, in this paper, we put forward a smooth morphing algorithm for point-sampled geometry (PSG). Source and target PSG are first parameterized onto a unit sphere, respectively. After aligning the feature point-pairs on the two unit spheres, they are merged into a single sphere and based on it, the correspondence relation is constructed. We then use Laplacian coordinate to nonlinearly interpolate the shapes and the intermediated shapes are up-sampled using the moving least squares scheme. Experiment results demonstrate that our algorithm can generate natural intermediated shapes and visually smooth morphing sequences.
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Wang, R., Zhang, C., Hu, J. (2012). Smooth Morphing of Point-Sampled Geometry. In: Kim, Th., Cho, Hs., Gervasi, O., Yau, S.S. (eds) Computer Applications for Graphics, Grid Computing, and Industrial Environment. CGAG GDC IESH 2012 2012 2012. Communications in Computer and Information Science, vol 351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35600-1_3
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DOI: https://doi.org/10.1007/978-3-642-35600-1_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35599-8
Online ISBN: 978-3-642-35600-1
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