19 November 2003 Surface reconstruction from stereo images using B-spline parameterization
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Abstract
This paper presents a stereo matching algorithm which combines a dense B-spline representation and an adaptive regularization technique to produce a detailed and stable depth field. We demonstrate that splines may fail in representing some regions in a disparity map due to occlusions. To address this problem, we propose to perform spline representation in object space and directly carry out surface reconstruction from stereo images. The effectiveness of this algorithm has been demonstrated by experimental results on real images.
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Wurong Yu, Wurong Yu, Bugao Xu, Bugao Xu, "Surface reconstruction from stereo images using B-spline parameterization", Proc. SPIE 5203, Applications of Digital Image Processing XXVI, (19 November 2003); doi: 10.1117/12.506270; https://doi.org/10.1117/12.506270
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