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A Common Framework for Kinetic Depth, Reconstruction and Motion for Deformable Objects

Sparr, Gunnar LU (1994) Proceedings of Third European Conference on Computer Vision, Volume II In Computer Vision - ECCV '94. Third European Conference on Computer Vision. Proceedings. Vol.II 2. p.471-482
Abstract
In this paper, problems related to depth, reconstruction and motion from a pair of projective images are studied under weak assumptions. Only relative information within each image is used, nothing about their interrelations or about camera calibration. Objects in the scene may be deformed between the imaging instants, provided that the deformations can be described locally by affine transformations. It is shown how the problems can be treated by a common method, based on a novel interpretation of a theorem in projective geometry of M. Chasles, and the notion of “affine shape”. No epipolar geometry is used. The method also enables the computation of the “depth flow”, i.e. a relative velocity in the direction of the ray of sight
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
image reconstruction, motion estimation, common framework, kinetic depth, deformable objects reconstruction, deformable objects motion, projective images, imaging instants, deformations, affine transformations, projective geometry, affine shape
in
Computer Vision - ECCV '94. Third European Conference on Computer Vision. Proceedings. Vol.II
editor
Eklundh, J.-O.
volume
2
pages
471 - 482
publisher
Springer
conference name
Proceedings of Third European Conference on Computer Vision, Volume II
ISBN
3-540-57957-5
language
English
LU publication?
yes
id
e0eb6866-a051-4198-b531-75dcc36640f0 (old id 787481)
date added to LUP
2008-09-15 15:28:13
date last changed
2016-04-16 07:45:16
@inproceedings{e0eb6866-a051-4198-b531-75dcc36640f0,
  abstract     = {In this paper, problems related to depth, reconstruction and motion from a pair of projective images are studied under weak assumptions. Only relative information within each image is used, nothing about their interrelations or about camera calibration. Objects in the scene may be deformed between the imaging instants, provided that the deformations can be described locally by affine transformations. It is shown how the problems can be treated by a common method, based on a novel interpretation of a theorem in projective geometry of M. Chasles, and the notion of “affine shape”. No epipolar geometry is used. The method also enables the computation of the “depth flow”, i.e. a relative velocity in the direction of the ray of sight},
  author       = {Sparr, Gunnar},
  booktitle    = {Computer Vision - ECCV '94. Third European Conference on Computer Vision. Proceedings. Vol.II},
  editor       = {Eklundh, J.-O.},
  isbn         = {3-540-57957-5},
  keyword      = {image reconstruction,motion estimation,common framework,kinetic depth,deformable objects reconstruction,deformable objects motion,projective images,imaging instants,deformations,affine transformations,projective geometry,affine shape},
  language     = {eng},
  pages        = {471--482},
  publisher    = {Springer},
  title        = {A Common Framework for Kinetic Depth, Reconstruction and Motion for Deformable Objects},
  volume       = {2},
  year         = {1994},
}