Progressive 3D model compression based on surfacelet

Authors:
Jinjiang Li;Hui Fan
Affiliations:
School of Computer Science and Technology, Shandong Institute of Business and Technology, Yantai, China and School of Computer Science and Technology, Shandong University, Jinan, China;School of Computer Science and Technology, Shandong Institute of Business and Technology, Yantai, China
Venue:
Edutainment'10 Proceedings of the Entertainment for education, and 5th international conference on E-learning and games
Year:
2010

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Abstract

A progressive mesh compression method based on surfacelet transform is proposed in this paper. Firstly we take spherical parameterization for the three-dimensional mesh, and then make surfacelet transform for the data that sampling from the parameterized spherical mesh. It can take full advantage of the surfacelet transform that effective capture and express high-dimensional singular surface characteristics of the signal, and can better code and reconstruct the characteristics. Surfacelet transform can carry out the direction filtering, which can effectively solve the problem that wavelet transform can not locate the edge and contour position for high-frequency signals. Experimental results show that our algorithm has achieved a good progressive reconstruction effects. Compared with wavelet compression, surfacelet can better reconstruct the original mesh geometry and surface characteristics.