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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) In Proceedings IEEE Workshop on Representation of Visual Scenes (In Conjunction with ICCV'95) (Cat. No.95TB8126) 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:
author
organization
publishing date
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
in
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)
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
2008-09-16 08:54:49
date last changed
2016-10-13 04:43:52
@misc{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},
  isbn         = {0 8186 7122 X},
  keyword      = {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    = {ARRAY(0x9e94ed8)},
  series       = {Proceedings IEEE Workshop on Representation of Visual Scenes (In Conjunction with ICCV'95) (Cat. No.95TB8126)},
  title        = {A Canonical Framework for Sequences of Images},
  url          = {http://dx.doi.org/10.1109/WVRS.1995.476851},
  year         = {1995},
}