Reconstructing Open Surfaces from Image Data
(2006) In International Journal of Computer Vision 69(3). p.267-275- Abstract
- 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... (More)
- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/818556
- author
- Solem, Jan Erik LU and Heyden, Anders LU
- organization
- publishing date
- 2006
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- variational methods, level set method, computer vision, multiple view, stereo, structure from motion
- in
- International Journal of Computer Vision
- volume
- 69
- issue
- 3
- pages
- 267 - 275
- publisher
- Springer
- external identifiers
-
- wos:000239338700001
- scopus:33744941317
- ISSN
- 1573-1405
- DOI
- 10.1007/s11263-006-7068-9
- language
- English
- LU publication?
- yes
- id
- 8264b877-0920-4519-bfe3-117b39f558c8 (old id 818556)
- date added to LUP
- 2016-04-04 11:32:27
- date last changed
- 2023-09-06 10:46:25
@article{8264b877-0920-4519-bfe3-117b39f558c8, abstract = {{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.}}, author = {{Solem, Jan Erik and Heyden, Anders}}, issn = {{1573-1405}}, keywords = {{variational methods; level set method; computer vision; multiple view; stereo; structure from motion}}, language = {{eng}}, number = {{3}}, pages = {{267--275}}, publisher = {{Springer}}, series = {{International Journal of Computer Vision}}, title = {{Reconstructing Open Surfaces from Image Data}}, url = {{http://dx.doi.org/10.1007/s11263-006-7068-9}}, doi = {{10.1007/s11263-006-7068-9}}, volume = {{69}}, year = {{2006}}, }