Virtual Simulation of PCA Algorithm and Detection Technique of Capturing Fashion Show Movements

Abstract:

3D animation technology is introduced into a virtual fashion show to design a new fashion show of show creation system in this paper. This system combines image processing and reconstruction technology and Matlab software, the two methods and tools. Through the change of frame vector data, it realizes the reconstruction of image. In order to improve the speed of image capture and reconstruction, PCA algorithm is adopted to reduce the dimensions of the vector data of each frame image. This system makes The three dimensional animation technology and performing choreography get together, which has achieved better artistic effect of show design, and has provided technical reference for the computer design of virtual fashion show in universities.

• Periodical: Applied Mechanics and Materials (Volumes 651-653)
• Pages: 555-559
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.651-653.555
• Online since: September 2014
• Authors: Ying Zhang*, Li Zhou
• Keywords: Computer, Image Capture, Image Reconstruction, MATLAB Software, PCA Algorithm, Virtual Technology

References

[1] Mengqing Jia, Zongmin Wang, Gang Chen. Research on website classification based on user HTTP behavior analysis. Computer engineering and design, Vol. 3, (2010), pp.491-494.

[2] Yuanyuan Wu, Bin Li, Chunqi Sun, Zheng Xu. Research of content search in peer-to-peer network based on the Chord. Microcomputer. Vol. 27 (01) , (2011), pp.164-167.

[3] Yuedong Yang, Lili Wang, Aimin Hao. Motion string: a motion capture data representation for behavior segmentation. Journal of computer research and development, Vol. 45(3), (2008), pp.527-534.

[4] Hongzhong Tang, Yewei Xiao, Huixian Huang, Jiajia Zhang. The segmentation method for color image based on PCA vector morphology. Computer engineering, Vol. 35(12) , (2009), pp.201-203, 207.

[5] Feng Liu, Yueting Zhuang, Zhongxiang Luo, Yunhe Pan. Motion analysis and its application based on wavelet transformation. Journal of Image and Graphics, Vol. 8(l), (2003), pp.68-76.

DOI: 10.1109/icip.2002.1039046

[6] Guan Luo, Zhongyang Hao, Wen Zhang, Yangyu Fan. Review on virtual human technology. Computer engineering, Vol. 18, (2005) , pp.7-9.

[7] Yan Li. the research and implementation of skin realistic deformation method for virtual human. Institute of computing technology, Chinese academy of science, (2004).

[8] Xiaoping Wing, et al. Improved method of moving objects detection based on single-gaussian background model. Computer engineering and applications, Vol. 45 (21) , (2009), pp.118-120.

[9] Jun Yang, et al. The extraction of traffic background based on the improved single-gaussian model method. Acta PHOTONICA SINICA, Vol. 38(5) , (2009), pp.1293-1296.

[10] Hui Liu, Xiao Shu. An method of shadow detection based on edge information and HSV color combination. Modern computer (Professional Edition), Vol. 11 , (2009), pp.51-55.

[11] Siguo Wang, et al. An improved algorithm for image revolving. Transactions of ShenYang Ligong University, Vol. 28 (5) , (2009), pp.22-25.

[12] Zhiwei Xu, et al. Driver program design for video decoder TVP5150 based on DM642. Chinese journal of electron devices, Vol. 29 (3) , (2009), pp.945-950.