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Relative 3D Regularized B-Spline Surface Reconstruction Through Image Sequences

Changsheng Zhao 1 Roger Mohr 1, 2 
2 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
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.
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Submitted on : Monday, December 20, 2010 - 8:44:27 AM
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Changsheng Zhao, Roger Mohr. Relative 3D Regularized B-Spline Surface Reconstruction Through Image Sequences. European Conference on Computer Vision (ECCV '94), May 1994, Stockholm, Sweden. pp.417--426, ⟨10.1007/BFb0028373⟩. ⟨inria-00548404⟩



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