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http://dx.doi.org/10.3745/KIPSTB.2003.10B.2.157

A Study on Photographic 3D Modeling Techniques for Their Enhancements  

Lee, Jong-Soo (울산대학교 컴퓨터정보통신공학부)
Publication Information
The KIPS Transactions:PartB / v.10B, no.2, 2003 , pp. 157-162 More about this Journal
Abstract
In this paper, in-depth considerations are given to various techniques suggested for photographic 3D modelling and possible enhancements of the techniques are discussed. It is found that both the improvement of fundamental matrix estimation techniques and the stereo image rectification processing stage are necessary for more accurate 3D modelling.
Keywords
fundamental matrix; planar rectification; corresponding point;
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  • Reference
1 K. Kanatani, 'Optimal fundmamental matrix computation : Algorithm and reliability analysis,' Proc. 6th Symp. Sensing via Image Information (SSII 2000), Yokohama, Japan, pp.291-298, June, 2000
2 Z. Zhang, R. Deriche, O. Faugeras, Q.-T.Luong, 'A Robust Technique for Matching Two Uncalibrated Images Through the Recovery of the Unknown Epipolar Geometry,' Artificial Intelligence Journal, Vol.78, pp.87-119, October, 1995   DOI   ScienceOn
3 A. Fusiello, E. Trucco, A. Verri, 'Rectification with unconstrained stereo geometry,' BMVC97, pp.400-409, 1997
4 O. Faugeras, 'Three-Dimensional Computer Vision : A Geometric Viewpoin,' The MIT press, Cambridge, 1993
5 N. Ayache and C. Hansen, 'Rectification of images for binocular and trinocular stereovision,' Proc. Itern. Cof. on Pattern Recognition, pp.11-16, 1998   DOI
6 K. Kanatani, Statistical Optimization for Geometric Computation : Theory and Practice, Elsevier Science, Amsterdam, The Netherlands, April, 1996
7 S. Roy, J. Meunier and I. Cox, 'Cylindrical Rectification to Minimize Epiploar Distrotion,' Proc.IEEE Conference on Computer Vision and Pattern Recognition, pp.393-399, 1997   DOI