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Effective Reconstruction of Stereo Image through Regularized Adaptive Disparity Estimation Scheme  

Kim, Yong-Ok (광운대학교 전자공학과 국가지정 3차원 영상 미디어 연구실)
Bae, Kyung-Hoon (광운대학교 전자공학과 국가지정 3차원 영상 미디어 연구실)
Kim, Eun-Soo (광운대학교 전자공학과 국가지정 3차원 영상 미디어 연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.28, no.4C, 2003 , pp. 424-432 More about this Journal
Abstract
In this paper, an effective method of stereo image reconstruction through the regularized adaptive disparity estimation is proposed. Althougth the conventional adaptive disparity estimation method can sharply improve the PSNR of a reconstructed stereo image, but some problems of overlapping between the matching windows and disallocation of the matching windows can be occurred, because the matching window size changes adaptively in accordance with the magnitude of feature values. Accordingly, in thia paper, a new regularized adaptive disparity estimation technique is proposed. That is, by regularizing the estimated disparity vector with the neughboring disparity vectors, problems of the conventional adaptive disparity estimated scheme might be solved, and also the predicted stereo image can be more effectively reconstructed. From some experiments using the CCETT'S stereo image pairs of 'Man' and 'Claude', it is analyzed that the proposed disparity estimation scheme can improve PSNRs of the reconstructed images to 10.89dB, 6.13dB for 'Man' and 1.41dB, 0.81dB for 'Claude' by comparing with those of the conventional pixel-based and adaptive estimation method, respectively.
Keywords
평활화;적응적 변이추정;스테레오 영상복원;
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  • Reference
1 Grinberg, V. 'Geometry of Binocular Imaging,' Proc. SPIE vol. 2177, PP. 56 -65, February 1994   DOI
2 Grimson, 'Computational experi-ments with a feature based stereo algorithm', IEEE Trans. on Pattern Anal. Machine Intell., vol.7, PP.17-34, 1985   DOI   ScienceOn
3 Kyung-hoon Bae, Song-taek Lim, Eun-soo Kim, 'Adaptive Disparity Estimation and Intermediate View Reconstruction for Multiview 3D Imaging System', Proc. of SPIE, vol. 4660A, San Jose, California, January 2001
4 Z.-D. Lan and J. Konrad, 'Regularized block matching using control points,' Tech. Rep. 99-13, WRS-Telecommunications, July 1999
5 Z. Zhang, 'Determining the epipolar geome-try and its uncertainty: A review', Tech. Rep. Technical Report 2927, INRIA,Sophia-Antipolis, France, July 1996
6 A. Redert, E. Hendnks and J. Biemond, 'Correspondence estimation in image pairs',IEEE Signal Processing Magazine, special is-sue on 3D and stereoscopic visual Communi-cation, vol. 16, no.3, PP.29-46, May 1999
7 Kyoung-Hoon Bae, Eun-Soo Kim, 'A new disparity estimation scheme based-on adaptive matching window for intermediate view re-construction', Opt. Eng, vol. 42, no. 6, 2003
8 W. Ho and N. Ahuja, 'Surfaces from stereo: Integrating feature matching, disparity estima-tion, and contour detection,' IEEE Trans. on PAME, vol.ll, no.2, PP.121-136, 1989
9 Kyung-hoon Bae, Eun-soo Kim, 'Adaptively Compensated-Disparity Prediction scheme for Stereo Image Compression and Reconstruction', The Korean Institute of Communication Sciences, vol.27, no.7A, July 2002
10 See http://www.tnt.uni-hannover.de/js/Project/eu/distima/images/
11 Mark S. Moellenhoff, Mark W. Maier, 'Characteristics of disparity-compensated stereo image pair residuals', Signat Processing: Image Communication, vol. 14, PP 55 -69, 1998   DOI   ScienceOn
12 Cheng Hong Yang, 'Geometnc Models in Stereoscopic Video', Rapport technique de l'lNRS-T'el'ecommunications no. 95-12, 1995
13 Ebroul Izquierdo M, 'Stereo matching for enhanced telepresence in three-dimensional ideo communications', IEEE Transactions on circuits and systems for video technology, vol. 7, no. 4, PP. 629-643, August 1997   DOI   ScienceOn
14 Chun-Jen Tsai and A. K. Katsaggelos, 'Dense disparity estimation with a divide-and-con querdisparity space image technique', IEEE Trans. on Multimedia, vol.1, no.1, PP.18-29, 1999   DOI   ScienceOn
15 김은수/이승현 공역, '3차원 영상의 기초', 기다리, 1998