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http://dx.doi.org/10.3745/KIPSTB.2006.13B.7.671

Robust Estimation of Camera Motion using Fuzzy Classification Method  

Lee, Joong-Jae (한국과학기술연구원 지능로봇연구센터)
Kim, Gye-Young (숭실대학교 컴퓨터학부)
Choi, Hyung-Il (숭실대학교 미디어학부)
Publication Information
The KIPS Transactions:PartB / v.13B, no.7, 2006 , pp. 671-678 More about this Journal
Abstract
In this paper, we propose a method for robustly estimating camera motion using fuzzy classification from the correspondences between two images. We use a RANSAC(Random Sample Consensus) algorithm to obtain accurate camera motion estimates in the presence of outliers. The drawback of RANSAC is that its performance depends on a prior knowledge of the outlier ratio. To resolve this problem the proposed method classifies samples into three classes(good sample set, bad sample set and vague sample set) using fuzzy classification. It then improves classification accuracy omitting outliers by iteratively sampling in only good sample set. The experimental results show that the proposed approach is very effective for computing a homography.
Keywords
Camera Motion; Homography; Fuzzy Classification; Ransac; Outlier;
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  • Reference
1 H. Wang, C. Wang, G. Wu, 'Bi-criteria Fuzzy C-Means Analysis,' Fuzzy Sets and Systems, vol.64, pp.311-319, 1994   DOI   ScienceOn
2 C. Tomasi, T. Kanade, 'Detection and tracking of point features,' CMU Technical Report, CMU-CS-91-132, April, 1991
3 Danna H. Ballard, Christopher M. Brown, 'Computer Vision,' Prentice-Hall, 1982, Vol.25, No.3, pp. 354-364, 2003
4 Simon J.D. Prince, Ke Xu, Adrian David Cheok, 'Augmented Reality Camera Tracking with Homographies,' IEEE Computer Graphics and Applications, Vol.22, No.6, pp.39-45, 2002   DOI   ScienceOn
5 Valenzuela-Rendon M., 'The Fuzzy Classifier System : a Classifier System for Continuously Varying Variables,' International Conference on Genetic Algorithms, pp.346-353, 1991
6 PHS Torr and C. Davidson, 'IMPSAC: Synthesis of Importance Sampling and Random Sample Consensus,' IEEE Transaction on Pattern Analysis and Machine Intelligence   DOI   ScienceOn
7 Emanuele Trucco, Alessandro Verri, 'Introductory Techniques for 3D Computer Vision,' Prentice-Hall, 1998
8 A. J. Lacey and N. Pinitkaren and N. A. Thacker, 'An Evaluation of the Performance of RANSAC Algorthms for Stereo Camera Calibration,' Proceeding of British Machine Vision Conference, pp.646-655, 2000
9 Charles V. Stewart, 'Robust Parameter estimation in Computer Vision,' SIAM Review, vol.41, No.3, pp.513-537, 1999   DOI   ScienceOn
10 M.A. Fischler and R.C. Bolles, 'Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography,' Communications fo the ACM, Vol.24, Issue.6, pp.381-385, 1981   DOI   ScienceOn
11 Hartley, R. I. Zisserman, A, 'Multple View Geometry in Computer Vision, ' Cambridge University Press, 2000
12 P.J. Rousseeuw, A.M. Leroy, 'Robust Regression and Outlier Detection,' Wiley, 1987
13 P.J. Huber, 'Robust Statistics,' John Wiley, New York, 1981