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 - Graphisme, Vision et Robotique, 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.
Type de document :
Communication dans un congrès
Jan-Olof Eklundh. European Conference on Computer Vision (ECCV '94), May 1994, Stockholm, Sweden. Springer-Verlag, 801, pp.417--426, 1994, Lecture Notes in Computer Science (LNCS). 〈http://www.springerlink.com/content/m6820254482233n1/〉. 〈10.1007/BFb0028373〉
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Soumis le : lundi 20 décembre 2010 - 08:44:27
Dernière modification le : jeudi 11 janvier 2018 - 06:20:04

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Changsheng Zhao, Roger Mohr. Relative 3D Regularized B-Spline Surface Reconstruction Through Image Sequences. Jan-Olof Eklundh. European Conference on Computer Vision (ECCV '94), May 1994, Stockholm, Sweden. Springer-Verlag, 801, pp.417--426, 1994, Lecture Notes in Computer Science (LNCS). 〈http://www.springerlink.com/content/m6820254482233n1/〉. 〈10.1007/BFb0028373〉. 〈inria-00548404〉

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