A Canonical Framework for Sequences of Images
Heyden, Anders LU
and Åström, Karl
LU
(1995)
Proceedings IEEE Workshop on Representation of Visual Scenes (In Conjunction with ICCV'95)
p.45-52
- Abstract
- This paper deals with the problem of analysing sequences of images of rigid point objects taken by uncalibrated cameras. It is assumed that the correspondences between the points in the different images are known. The paper introduces a new framework for this problem. Corresponding points in a sequence of n images are related to each other by a fixed n-linear form. This form is an object invariant property, closely linked to the motion of the camera relative to the fixed world. We first describe a reduced setting in which these multilinear forms are easier to understand and analyse. This new formulation of the multilinear forms is then extended to the calibrated case. This formulation makes apparent the connection between camera motion,... (More)
- This paper deals with the problem of analysing sequences of images of rigid point objects taken by uncalibrated cameras. It is assumed that the correspondences between the points in the different images are known. The paper introduces a new framework for this problem. Corresponding points in a sequence of n images are related to each other by a fixed n-linear form. This form is an object invariant property, closely linked to the motion of the camera relative to the fixed world. We first describe a reduced setting in which these multilinear forms are easier to understand and analyse. This new formulation of the multilinear forms is then extended to the calibrated case. This formulation makes apparent the connection between camera motion, camera matrices and multilinear forms and the similarities between the calibrated and uncalibrated cases. These new ideas are then used to derive simple linear methods for extracting camera motion from sequences of images (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/787297
- author
- Heyden, Anders
LU
and Åström, Karl
LU
- organization
- publishing date
- 1995
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- calibration, cameras, image sequences, motion estimation, canonical framework, image analysis, rigid point objects, uncalibrated cameras, object invariant property, camera motion, multilinear forms, camera matrices
- host publication
- Proceedings IEEE Workshop on Representation of Visual Scenes (In Conjunction with ICCV'95) (Cat. No.95TB8126)
- pages
- 45 - 52
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- Proceedings IEEE Workshop on Representation of Visual Scenes (In Conjunction with ICCV'95)
- conference location
- Cambridge, MA, United States
- conference dates
- 1995-06-24
- external identifiers
-
- scopus:0029428808
- ISBN
- 0 8186 7122 X
- DOI
- 10.1109/WVRS.1995.476851
- language
- English
- LU publication?
- yes
- id
- 1b6c45dc-8b87-46ec-90f1-0afee6201aae (old id 787297)
- date added to LUP
- 2016-04-04 11:05:13
- date last changed
- 2023-11-16 01:20:55
@inproceedings{1b6c45dc-8b87-46ec-90f1-0afee6201aae,
abstract = {{This paper deals with the problem of analysing sequences of images of rigid point objects taken by uncalibrated cameras. It is assumed that the correspondences between the points in the different images are known. The paper introduces a new framework for this problem. Corresponding points in a sequence of n images are related to each other by a fixed n-linear form. This form is an object invariant property, closely linked to the motion of the camera relative to the fixed world. We first describe a reduced setting in which these multilinear forms are easier to understand and analyse. This new formulation of the multilinear forms is then extended to the calibrated case. This formulation makes apparent the connection between camera motion, camera matrices and multilinear forms and the similarities between the calibrated and uncalibrated cases. These new ideas are then used to derive simple linear methods for extracting camera motion from sequences of images}},
author = {{Heyden, Anders and Åström, Karl}},
booktitle = {{Proceedings IEEE Workshop on Representation of Visual Scenes (In Conjunction with ICCV'95) (Cat. No.95TB8126)}},
isbn = {{0 8186 7122 X}},
keywords = {{calibration; cameras; image sequences; motion estimation; canonical framework; image analysis; rigid point objects; uncalibrated cameras; object invariant property; camera motion; multilinear forms; camera matrices}},
language = {{eng}},
pages = {{45--52}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{A Canonical Framework for Sequences of Images}},
url = {{http://dx.doi.org/10.1109/WVRS.1995.476851}},
doi = {{10.1109/WVRS.1995.476851}},
year = {{1995}},
}