caa a22 4500 46791429X CHVBK 20180406152857.0 cr unu---uuuuu 170328e20060901xx s 000 0 eng 10.1007/s11263-006-7068-9 doi (NATIONALLICENCE)springer-10.1007/s11263-006-7068-9 Reconstructing Open Surfaces from Image Data [Elektronische Daten] [Jan Solem, Anders Heyden] In this paper a method for fitting open surfaces to data obtained from images is presented using a level set representation of the surface. This is done by tracking a curve, representing the boundary, on the implicitly defined surface. This curve is given as the intersection of the level set describing the surface and an auxiliary level set. These two level sets are propagated using the same motion vector field. Special care has to be taken in order for the surfaces not to intersect at other places than at the desired boundary. Methods for accomplishing this are presented and a fast scheme for finding initial values is proposed. This method gives a piecewise linear approximation of the initial surface boundary using a partition of the convex hull of the recovered 3D data. With the approach described in this paper, open surfaces can be fitted to e.g. point clouds obtained using structure from motion techniques. This paper solves an important practical problem since in many cases the surfaces in the scene are open or can only be viewed from certain directions. Experiments on several data sets support the method. Springer Science + Business Media, LLC, 2006 variational methods nationallicence computer vision nationallicence level set method nationallicence multiple view stereo nationallicence structure from motion nationallicence Solem Jan School of Technology and Society, Malmö University, Sweden aut Heyden Anders School of Technology and Society, Malmö University, Sweden aut International Journal of Computer Vision Kluwer Academic Publishers 69/3(2006-09-01), 267-275 0920-5691 69:3<267 2006 69 11263 https://doi.org/10.1007/s11263-006-7068-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11263-006-7068-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Solem Jan School of Technology and Society, Malmö University, Sweden aut NATIONALLICENCE 700 1- Heyden Anders School of Technology and Society, Malmö University, Sweden aut NATIONALLICENCE 773 0- International Journal of Computer Vision Kluwer Academic Publishers 69/3(2006-09-01), 267-275 0920-5691 69:3<267 2006 69 11263 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer