Recursive Structure and Motion from Image Sequences using Shape and Depth Spaces
(1997) IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997 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:
https://lup.lub.lu.se/record/787217
- author
- Berthilsson, Rikard
LU
; Heyden, Anders
LU
and Sparr, Gunnar LU
- organization
- publishing date
- 1997
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Computer simulation, Recursive functions, Algorithms, Image quality, Image analysis
- host publication
- [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
- conference location
- San Juan, Puerto Rico
- conference dates
- 1997-06-17 - 1997-06-19
- 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
- 2016-04-01 16:09:20
- date last changed
- 2023-12-13 03:49:10
@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}}, keywords = {{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}}, doi = {{10.1109/CVPR.1997.609363}}, year = {{1997}}, }