Title :
Unifying measured point sequences of deforming objects
Author_Institution :
Dept. of Inf. Sci., Toho Univ., Funabashi, Japan
Abstract :
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. We present 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.
Keywords :
computational geometry; data compression; image motion analysis; image reconstruction; image sequences; mesh generation; object detection; time series; visual databases; 3D point sequences; 3D shapes; data compression; data fold reduction rate; deforming mesh model; spatial data sequence; time series records; Cameras; Computer vision; Data compression; Data mining; Deformable models; Kinematics; Layout; Mesh generation; Shape; Solid modeling;
Conference_Titel :
3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004. Proceedings. 2nd International Symposium on
Print_ISBN :
0-7695-2223-8
DOI :
10.1109/TDPVT.2004.1335411