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Motion Estimation in Image Sequences Using the Deformation of Apparent Contours

Kahl, Fredrik LU and Åström, Karl LU (1998) International Conference on Computer Vision , 1998 In Proceedings of IEEE 6th International Conference on Computer Vision p.939-942
Abstract
The problem of determining the camera motion from apparent contours or silhouettes of curved three-dimensional surfaces is considered. In a sequence of images is shown how to use the generalized epipolar constraint on apparent contours. One such constraint is obtained for each epipolar tangency point in each image pair. Thus in theory the motion can be calculated from the deformation of a single contour. A robust algorithm for computing the motion is presented based on the maximum likelihood estimate. It is shown how to generate initial estimates on the camera motion using only the tracked contours. It is also shown how to improve this estimate by maximizing the likelihood function. The algorithm has been tested on real image sequences.... (More)
The problem of determining the camera motion from apparent contours or silhouettes of curved three-dimensional surfaces is considered. In a sequence of images is shown how to use the generalized epipolar constraint on apparent contours. One such constraint is obtained for each epipolar tangency point in each image pair. Thus in theory the motion can be calculated from the deformation of a single contour. A robust algorithm for computing the motion is presented based on the maximum likelihood estimate. It is shown how to generate initial estimates on the camera motion using only the tracked contours. It is also shown how to improve this estimate by maximizing the likelihood function. The algorithm has been tested on real image sequences. The result is compared to that of using only point features. The statistical evaluation shows that the technique gives accurate and stable results (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
computational geometry, image sequences, maximum likelihood estimation, motion estimation, apparent contours deformation, camera motion, silhouettes, eneralized epipolar constraint, epipolar tangency point, image pair, robust algorithm, maximum likelihood estimate, real image sequences
in
Proceedings of IEEE 6th International Conference on Computer Vision
pages
939 - 942
publisher
Narosa Publishing House
conference name
International Conference on Computer Vision , 1998
external identifiers
  • Scopus:0032316966
ISBN
81 7319 221 9
DOI
10.1109/ICCV.1998.710829
language
English
LU publication?
yes
id
106bc7a9-69e1-4e83-bf55-31e7feb13991 (old id 787347)
date added to LUP
2008-09-16 13:49:23
date last changed
2016-09-26 16:27:03
@misc{106bc7a9-69e1-4e83-bf55-31e7feb13991,
  abstract     = {The problem of determining the camera motion from apparent contours or silhouettes of curved three-dimensional surfaces is considered. In a sequence of images is shown how to use the generalized epipolar constraint on apparent contours. One such constraint is obtained for each epipolar tangency point in each image pair. Thus in theory the motion can be calculated from the deformation of a single contour. A robust algorithm for computing the motion is presented based on the maximum likelihood estimate. It is shown how to generate initial estimates on the camera motion using only the tracked contours. It is also shown how to improve this estimate by maximizing the likelihood function. The algorithm has been tested on real image sequences. The result is compared to that of using only point features. The statistical evaluation shows that the technique gives accurate and stable results},
  author       = {Kahl, Fredrik and Åström, Karl},
  isbn         = {81 7319 221 9},
  keyword      = {computational geometry,image sequences,maximum likelihood estimation,motion estimation,apparent contours deformation,camera motion,silhouettes,eneralized epipolar constraint,epipolar tangency point,image pair,robust algorithm,maximum likelihood estimate,real image sequences},
  language     = {eng},
  pages        = {939--942},
  publisher    = {ARRAY(0x9e6e200)},
  series       = {Proceedings of IEEE 6th International Conference on Computer Vision},
  title        = {Motion Estimation in Image Sequences Using the Deformation of Apparent Contours},
  url          = {http://dx.doi.org/10.1109/ICCV.1998.710829},
  year         = {1998},
}