Abstract
This paper considers the problem of 3D surface reconstruction using image sequences. We propose a direct method of surface reconstruction which is based on regularized uniform bicubic B-spline surface patches. The reconstruction is achieved by observing the motion of occluding contours [1, 4, 10], i.e., where the view lines graze the surface. It has been shown that reconstruction of such a 3D surface is possible when the camera motion is known, with the exception of those fully concave parts where no view line can be tangential to the surface. This approach differs from previous work, it states directly the problem of regularization on the 3D surface. Experimental results are presented for real data.
Cite
CITATION STYLE
Zhao, C. S., & Mohr, R. (1994). Relative 3D regularized B-spline surface reconstruction through image sequences. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 801 LNCS, pp. 417–426). Springer Verlag. https://doi.org/10.1007/bfb0028373
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