Virtual reality: A state-of-the-art survey

This paper presents a survey on virtual reality systems and provides an in-depth understanding toward the notion of immersion, according to the semantic meanings of the terms “virtual” and “reality”. The paper analyses the structure and functions of a virtual reality system and takes the three dimensional display as the immersive medium to identify the key issues for construction of virtual environments. The paper also reviews the development of virtual reality technology and introduces new image processing techniques into the design of virtual reality systems and virtual environments.

[1]  Wang Zheng-ming.  Novel image registration method based on wavelet transform , 2007 .

[2]  Myron W. Krueger,et al.  Artificial reality II , 1991 .

[3]  SU Guang-chuan.  An Edge Detection Approach Based on Statistical Signal Processing and B-Spline Wavelet for Millimeter Wave Images , 2005 .

[4]  Pang Song-he.  Virtual Reality Technology and Its Application , 2009 .

[5]  J. Foley.  Interfaces for advanced computing , 1987 .

[6]  Roland Blach,et al.  Virtual Reality Technology - An Overview , 2008 .

[7]  Long Hong,et al.  A New Image Edge Detection Algorithm Based on Measuring of Medium Truth Scale , 2008, 2008 IEEE International Conference on Networking, Sensing and Control.

[8]  Gottfried Wilhelm Leibniz,et al.  Leibniz: New Essays on Human Understanding , 1996 .

[9]  M. Csíkszentmihályi.  Beyond boredom and anxiety , 1975 .

[10]  Zhu Jing.  Image matching based on adaptive genetic algorithm , 2003 .

[11]  Ivan E. Sutherland,et al.  The Ultimate Display , 1965 .

[12]  Guo Wen-pu.  Fuzzy sets based neural network algorithm for scene matching , 2007 .

[13]  Arthur Charles Clarke,et al.  Extra-Terrestrial Relays , 1966 .

[14]  Hongxing Li,et al.  Image restoration techniques based on fuzzy neural networks , 2007, Science in China Series F: Information Sciences.

[15]  Shen Lan-sun.  Research on Content-Based Image Retrieval Techniques , 2002 .

[16]  Sun Xiao-xia.  Coin recognizing method based on ant colony algorithm , 2006 .

[17]  Qin Wen-hu.  Medium Noise Removal Algorithm and Medium Measuring of Fidelity of Image , 2008 .

[18]  Yehoshua Y. Zeevi,et al.  PDE-based denoising of complex scenes using a spatially-varying fidelity term , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[19]  Wei Lian.  A CQPOCS Algorithm for Fast Feature Point Matching , 2007 .

[20]  David Blatner,et al.  Silicon Mirage: The Art and Science of Virtual Reality , 1992 .

[21]  Philippe Coiffet,et al.  Virtual Reality Technology , 1992 .

[22]  Zhang Jing,et al.  A New Method of Edge Detection Based on Statistical Vector and Neural Network , 2006 .

[23]  Howard Rheingold,et al.  Virtual Reality , 1991 .

[24]  Fang Shuai,et al.  Gray-scale Image Edge Detection Based on Multi-structuring Elements Order Morphology Transformation , 2006 .

[25]  Xiang-Gen Xia,et al.  Improved hidden Markov models in the wavelet-domain , 2001, IEEE Trans. Signal Process..

[26]  Yu Hai-bin.  Template-matching method based on image texture , 2005 .

[27]  Yu Chun.  Combining Rough Set Theory with Neural Network for Remote Sensing Image , 2004 .

[28]  John Q. Gan,et al.  Interactive image enhancement by fuzzy relaxation , 2007, Int. J. Autom. Comput..

[29]  Zhigeng Pan,et al.  Image-based virtual exhibit and its extension to 3D , 2007, Int. J. Autom. Comput..

[30]  Sankar K. Pal,et al.  On Edge Detection of X-Ray Images Using Fuzzy Sets , 1983, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[31]  Chen Hu,et al.  Research Based on Mathematics Morphology Image Chirp Method , 2004 .

[32]  Cai Xiao-bin.  Design of a New Image Filter Based on Rough Set , 2006 .

[33]  G. Leibniz,et al.  New Essays on Human Understanding. , 1981 .