3D modeling for deformable objects

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Abstract

This paper presents an efficient BSpline surface reconstruction technique for modelling deformable objects. The differences of our methods from previous BSpline fitting approaches are: 1) the reconstructed BSpline patch does not need to be square shaped. This significantly reduces the required number of BSpline patches for reconstruction; 2) the dataset to be reconstructed does not have to be grid data. This is important, especially for 3D scan data, which is unstructured dense point cloud, normally with holes. A compact 3D shape description can be obtained using our approach. This shape representation allows 3D metamorphosis, direct manipulation of free-form deformation, and level of detail control (real time multi-resolution rendering). The demonstrated results are reconstructed directly from the dense point clouds collected from our 3D scanner (based on stereo photogrammetry technique) and example datasets provided by Cyberware. © 2008 Springer-Verlag.

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CITATION STYLE

APA

Song, Y., & Bai, L. (2008). 3D modeling for deformable objects. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5098 LNCS, pp. 175–187). https://doi.org/10.1007/978-3-540-70517-8_18

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