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Panoramic Navigation using Orthogonal Cross Cylinder Mapping and Image-Segmentation Based Environment Modeling  

류승택 (중앙대학교 정보통신연구원)
조청운 (중앙대학교 첨단영상 연구원)
윤경현 (중앙대학교 컴퓨터공학과)
Abstract
Orthogonal Cross Cylinder mapping and segmentation based modeling methods have been implemented for constructing the image-based navigation system in this paper. The Orthogonal Cross Cylinder (OCC) is the object expressed by the intersection area that occurs when a cylinder is orthogonal with another. OCC mapping method eliminates the singularity effect caused in the environment maps and shows an almost even amount of area for the environment occupied by a single texel. A full-view image from a fixed point-of-view can be obtained with OCC mapping although it becomes difficult to express another image when the point-of-view has been changed. The OCC map is segmented according to the objects that form the environment and the depth value is set by the characteristics of the classified objects for the segmentation based modeling. This method can easily be implemented on an environment map and makes the environment modeling easier through extracting the depth value by the image segmentation. An environment navigation system with a full-view can be developed with these methods.
Keywords
Sampling; Environment Mapping; Image Based Rendering; Panoramic Navigation;
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1 E. N. Mortensen, L. J. Reese, and W. A. Barrett, Intelligent Selection Tools, IEEE Conference on CVPR '00, Vol. II, pp. 776-777, June 2000   DOI
2 SeungTaek Ryoo. KyungHyun Yoon, 'Double Cross Cylinder' , IEICE Transaction on Information & Systems, Vol. E-85, No.6, pp 1022-1030, June 2002
3 David Blythe, Advanced Graphics Programming Techniques Using OpenGL, SIGGRAPH '99 Course Note
4 N. Greene, Environment Mapping and Other Applications of World Projections, Computer Graphics and Applications, 6(11):21-29. November 1986   DOI   ScienceOn
5 Paul Debevec, Camillo J. Taylor, and Jitendra Malik, Modeling and Rendering Architecture from Photographs: A Hybrid Geometry- and Image-Based Approach, SIGGRAPH '96, pp. 11-20, 1996   DOI
6 M. Pollefeys, Self-calibration and metric 3D reconstruction from uncalibrated image sequences, Ph.D. Thesis, ESAT-PSI, K.U.Leuven, 1999
7 Paul Beardsley, Phil Torr and Andrew Zisserman, 3D Model Acquisition from Extended Image Sequences, ECCV96
8 Youichi Horry, Ken-Ichi Anjyo, Kiyoshi Arai, Tour Into the Picture: Using a Spidery Mesh Inter-face to Make Animation from a Single Image, SIGGRAPH '97, pp 225-232, 1997   DOI
9 Helmut Dersch, Panorama Tools, http://www.fhfurtwangen.de/~dersch/
10 W. Skarbek and A. Koschan: Colour Image Seg mentation - A Survey, Technical Report 94-32, Technical University of Berlin, Department of Computer Science, October 1994
11 Panorama Creation and Stitching Tools, http://graphicssoft.about.com/cs/panorama/index.htm
12 Jim Blinn and Martin Newell, Texture and reflection in computer generated images, Communications of the ACM, 19:456-547, 1976   DOI   ScienceOn
13 Alan Watt and Fabio Policarpo, The Computer Image, Addison-Wesley
14 Yoshihiro Mizutani and Kurt Reindel, Environment Mapping Algorithms, http://home.san.rr.com/thereindels/Mapping/Mapping.html
15 Paul Zimmons, Spherical, Cubic, and Parabolic Environment Mappings, http://www.cs.unc.edu/~zimmons/cs238/maps/environment.html
16 Leonard McMillan and Gary Bishop, Plenoptic modeling : An image-based rendering system. SIGGRAPH '95, pp 39-46, 1995   DOI
17 W. Heidrich and H.-P. Seidel. View independent Environment Maps. Eurographics/ ACM Sig-graph Workshop on Graphics Hardware 1998   DOI
18 Big Ben's Spherical Panorama Stitching Tutorial, http://www.bigbenpublishing.com.au/360/docs/tutorial/index.html