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30 May 2003 Adaptive disparity estimation scheme using balanced stereo image sequences
Kyung-Hoon Bae, Yong-Ok Kim, Sang-Woo Lee, Eun-Soo Kim
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Proceedings Volume 5006, Stereoscopic Displays and Virtual Reality Systems X; (2003) https://doi.org/10.1117/12.474156
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States
Abstract
In this paper, an adaptive stereo matching method using a sequence of the balanced stereo image pair is proposed. The balanced stereo image pair can be acquired by applying the balance compensation scheme to the input stereo image pair, and then stereo matching is carried out by using the disparity vectors estimated from this balanced stereo image pair, in which the matching window size for disparity estimation is adaptively selected depending on the magnitude of the feature values. Because the balance compensation is able to alleviate the problem of luminance imbalance between the input stereo image pair, performance of the disparity estimation can be improved. Moreover, since the resultant image-smoothing effect occurring in the balanced stereo image can help to reduce not only the unreliable intensity matching but also the ambiguous matching in the process of disparity estimation, effective reconstruction of the stereo image can be expected as well. From some experiments using stereo image pairs of 'Piano' and 'Claude', it is shown that the proposed method improves the PSNR of a reconstructed image up to 6.08 dB on average within the search ranges of ∮± 30 by comparing with that of conventional algorithms.
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Kyung-Hoon Bae, Yong-Ok Kim, Sang-Woo Lee, and Eun-Soo Kim "Adaptive disparity estimation scheme using balanced stereo image sequences", Proc. SPIE 5006, Stereoscopic Displays and Virtual Reality Systems X, (30 May 2003); https://doi.org/10.1117/12.474156
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KEYWORDS
Image processing
Reconstruction algorithms
3D image processing
Feature extraction
Cameras
3D image reconstruction
Analytical research
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