Study on Skeletal Animation in Virtual Reality

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Abstract:

For taking the advantages of skeletal animation, different model should be treated separately during the drawing process. For the sophisticated character, skeletal animation can apply binary compression and the method of saving common sequence. Meanwhile, draw the advanced programmable GPU technology into the progress of dealing with the updating of skeletal animation vertex, then analysis and comparison its performance. The results show that the new algorithm will greatly reduce RAM utilization. And the introduction of GPU computing method can perfectly assist the CPU to complete a large number of graphics operations, reducing CPU utilization, thereby improve the efficiency of skeletal animation rendering fundamentally.

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434-437

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October 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Tong-Yee Lee, Chao-Hung Lin, Yu-Shuen Wang, et al. Animation Key-frame Extraction and Simplification Using Deformation Analysis. Journal of Virtual Reality and Broadcasting. (2008).

DOI: 10.1109/tcsvt.2008.918456

Google Scholar

[2] Huijie Yuan. Research and Implementation of Skeletal Animation Technology [D]. University of Electronic Science and Technology 2010(In Chinese).

Google Scholar

[3] Zhuoer Ji, Jingqiao Zhang. Skeletal Animation Algorithm and Comparison Based on Programmable Graphics Processor [J]. Computer Engineering and Design, 2008(21) (In Chinese).

Google Scholar

[4] Enhua Wu, Youquan Liu. General Purpose Computing Based on GPU [J]. Computer Aided Design and Computer Graphics. 2004(05) (In Chinese).

Google Scholar

[5] Xiao Shen, Shi Rui. Implementation of Real-time Shadow Algorithm Based on Programmable Graphics Hardware [J]. Computer Engineering and Design, 2006(21) (In Chinese).

Google Scholar

[6] Christopher DeCoro, Natalya Tatarchuk. Real-time mesh simplification using the GPU[C]. Proceedings of the Symposium on Interactive 3D Graphics and Games I3D'07. New York, NY, USA: ACM Press, 2007: 161-166.

DOI: 10.1145/1230100.1230128

Google Scholar

[7] Wei Zhao, Ruipu Tan, Wenhui Li. OpenMP Parallelization Collision Detection Algorithm Based on Mixed Bounding Volume. Journal of Software, Vol. 19, Supplement, December 2008, pp.190-201.

Google Scholar

[8] Zhong Chen, Xuehui Zhao, Qiurui Sun. Implementation of Human Motion Model Based on OpenGL[J]. Computer Applications. 2008(S2) (In Chinese).

Google Scholar

[9] Wei Zhao, Xingsheng Cai, MingQuan Wang, HuiYan Qu, ChunGuang Bi. A PSO Optimization Algorithms Based on the Solution Space Division. Journal of Information, Vol. 15, December 2012, pp.5465-5472.

Google Scholar

[10] Huiyan Qu, Wei Zhao, Dandan Wu and Ying Pan, Algorithm of Parallel Collision Detection Based on Temporal-spatial Coherence. Journal of Information, Vol. 15, December 2012, pp.5473-5480(In Chinese).

Google Scholar

[11] Wei Zhao, LongTao Wang, MingQuan Wang, Yi Liu. A New Collision Detection Algorithm Suitable for Complex Virtual Environment. Journal of Information, Vol. 15, December 2012, pp.5455-5463.

Google Scholar