Báo cáo hóa học: " Research Article Texture Classification for 3D Urban Map"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Texture Classification for 3D Urban Map | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2009 Article ID 432853 8 pages doi 2009 432853 Research Article Texture Classification for 3D Urban Map Hiroyuki Inatsuka Makoto Uchino Satoshi Ueno and Masahiro Okuda Department of Information and Media Sciences Faculty of Environmental Engineering The University of Kitakyushu 1-1 Hibikino Wakamatu Kitakyushu Fukuoka 808-0135 Japan Correspondence should be addressed to Masahiro Okuda okuda-m@ Received 27 February 2008 Revised 15 December 2008 Accepted 23 February 2009 Recommended by Stefano Tubaro This paper proposes a method to control texture resolution for rendering large-scale 3D urban maps. Since on the 3D maps texture data generally tend to be far larger than geometry information such as vertices and triangles it is more effective to reduce the texture by exploiting the LOD Level of Detail in order to decrease whole data size. For this purpose we propose a new method to control the resolution of the texture. In our method we classify the textures to four classes based on their salient features. The appropriate texture resolutions are decided based on the classification resulsts their rendered sizes on a display and their level of importance. We verify the validity of our texture classification algorithm by applying it to the large-scale 3D urban map rendering. Copyright 2009 Hiroyuki Inatsuka et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. Introduction Three-dimensional urban maps 3D map have a variety of applications such as navigation systems and disaster management and simulations of urban planning. As the technology that acquires 3D range data and models of cities from the real world has advanced 1-4 more sophisticated visualization of photo-realistic 3D map is becoming .

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