Reconstruction of deforming geometry from time-varying point clouds
SGP '07 Proceedings of the fifth Eurographics symposium on Geometry processing
Performance capture from sparse multi-view video
ACM SIGGRAPH 2008 papers
Space-time surface reconstruction using incompressible flow
ACM SIGGRAPH Asia 2008 papers
Reconstructing animated meshes from time-varying point clouds
SGP '08 Proceedings of the Symposium on Geometry Processing
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Recent progress in digitizing technologies is making it possible to capture the 3D shapes of moving objects. To efficiently utilize time series records of spatial data, the information must be unified to yield coherent deforming models. This paper presents a general method that unifies unregistered 3D point sequences to generate deforming mesh models. The method does not assume any specific kinematic structure, and is applicable to any digitizer. The method first polygonizes the initial points and then deforms meshes to best fit the subsequent data points while minimizing the deformation energy. Experiments are conducted on real measured data and CG data, and successful results are obtained. As an application of the method, we examine data compression and achieve a 380 fold reduction rate for a measured data sequence.