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Recursive Structure and Motion from Image Sequences using Shape and Depth Spaces

Berthilsson, Rikard LU ; Heyden, Anders LU and Sparr, Gunnar LU (1997) IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997 In [Host publication title missing] p.444-449
Abstract
In this paper a novel recursive method for estimating structure and motion from image sequences is presented. The novelty lies in the fact that the output of the algorithm is independent of the chosen coordinate systems in the images as well as the ordering of the points. It relies on subspace methods and is derived from both ordinary coordinate representations and camera matrices and from a so called depth and shape analysis. Furthermore, no initial phase is needed to start up the algorithm. It starts directly with the first two images and incorporates new images as soon as new corresponding points are obtained. The performance of the algorithm is shown on simulated data. Moreover, the two different approaches, one using camera matrices... (More)
In this paper a novel recursive method for estimating structure and motion from image sequences is presented. The novelty lies in the fact that the output of the algorithm is independent of the chosen coordinate systems in the images as well as the ordering of the points. It relies on subspace methods and is derived from both ordinary coordinate representations and camera matrices and from a so called depth and shape analysis. Furthermore, no initial phase is needed to start up the algorithm. It starts directly with the first two images and incorporates new images as soon as new corresponding points are obtained. The performance of the algorithm is shown on simulated data. Moreover, the two different approaches, one using camera matrices and the other using the concepts of affine shape and depth, are unified into a general theory of structure and motion from image sequences. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Computer simulation, Recursive functions, Algorithms, Image quality, Image analysis
in
[Host publication title missing]
pages
444 - 449
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997
external identifiers
  • scopus:0030655211
ISSN
1063-6919
DOI
10.1109/CVPR.1997.609363
language
English
LU publication?
yes
id
299a4abb-3754-492e-ab9b-337e6958aef6 (old id 787217)
alternative location
http://ieeexplore.ieee.org/iel3/4821/13322/00609363.pdf?tp=&arnumber=609363&isnumber=13322
date added to LUP
2008-03-31 16:10:40
date last changed
2017-06-04 04:21:01
@inproceedings{299a4abb-3754-492e-ab9b-337e6958aef6,
  abstract     = {In this paper a novel recursive method for estimating structure and motion from image sequences is presented. The novelty lies in the fact that the output of the algorithm is independent of the chosen coordinate systems in the images as well as the ordering of the points. It relies on subspace methods and is derived from both ordinary coordinate representations and camera matrices and from a so called depth and shape analysis. Furthermore, no initial phase is needed to start up the algorithm. It starts directly with the first two images and incorporates new images as soon as new corresponding points are obtained. The performance of the algorithm is shown on simulated data. Moreover, the two different approaches, one using camera matrices and the other using the concepts of affine shape and depth, are unified into a general theory of structure and motion from image sequences.},
  author       = {Berthilsson, Rikard and Heyden, Anders and Sparr, Gunnar},
  booktitle    = {[Host publication title missing]},
  issn         = {1063-6919},
  keyword      = {Computer simulation,Recursive functions,Algorithms,Image quality,Image analysis},
  language     = {eng},
  pages        = {444--449},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Recursive Structure and Motion from Image Sequences using Shape and Depth Spaces},
  url          = {http://dx.doi.org/10.1109/CVPR.1997.609363},
  year         = {1997},
}