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Euclidean and Affine Structure/Motion for Uncalibrated Cameras from Affine Shape and Subsidiary Information

Sparr, Gunnar LU (1998) 3D Structure from Multiple Images of Large-Scale Environments. European Workshop, SMILE'98. Proceedings In 3D Structure from Multiple Images of Large-Scale Environments. European Workshop, SMILE'98. Proceedings p.187-207
Abstract
The paper deals with the structure-motion problem for uncalibrated cameras, in the case that subsidiary information is available, consisting, for example, in known coplanarities or parallelities among points in the scene, or known positions of some focal points (hand-eye calibration). Despite unknown camera calibrations, it is shown that in many instances the subsidiary information makes affine or even Euclidean reconstruction possible. A parametrization by affine shape and depth is used, providing a simple framework for the incorporation of apriori knowledge, and enabling the development of iterative, rapidly converging algorithms. Any number of points in any number of images are used in a uniform way, with equal priority, and... (More)
The paper deals with the structure-motion problem for uncalibrated cameras, in the case that subsidiary information is available, consisting, for example, in known coplanarities or parallelities among points in the scene, or known positions of some focal points (hand-eye calibration). Despite unknown camera calibrations, it is shown that in many instances the subsidiary information makes affine or even Euclidean reconstruction possible. A parametrization by affine shape and depth is used, providing a simple framework for the incorporation of apriori knowledge, and enabling the development of iterative, rapidly converging algorithms. Any number of points in any number of images are used in a uniform way, with equal priority, and independently of coordinate representations. Moreover, occlusions are allowed (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
image reconstruction, motion estimation, uncalibrated cameras, affine shape, structure-motion problem, Euclidean reconstruction, occlusions, computer vision, affine shape and depth
in
3D Structure from Multiple Images of Large-Scale Environments. European Workshop, SMILE'98. Proceedings
pages
187 - 207
publisher
Springer
conference name
3D Structure from Multiple Images of Large-Scale Environments. European Workshop, SMILE'98. Proceedings
external identifiers
  • Scopus:84957664332
ISBN
3 540 65310 4
language
English
LU publication?
yes
id
f4d42e89-f1c6-4568-aebc-5cba46028400 (old id 787511)
date added to LUP
2008-09-15 15:41:50
date last changed
2017-02-19 04:30:10
@inproceedings{f4d42e89-f1c6-4568-aebc-5cba46028400,
  abstract     = {The paper deals with the structure-motion problem for uncalibrated cameras, in the case that subsidiary information is available, consisting, for example, in known coplanarities or parallelities among points in the scene, or known positions of some focal points (hand-eye calibration). Despite unknown camera calibrations, it is shown that in many instances the subsidiary information makes affine or even Euclidean reconstruction possible. A parametrization by affine shape and depth is used, providing a simple framework for the incorporation of apriori knowledge, and enabling the development of iterative, rapidly converging algorithms. Any number of points in any number of images are used in a uniform way, with equal priority, and independently of coordinate representations. Moreover, occlusions are allowed},
  author       = {Sparr, Gunnar},
  booktitle    = {3D Structure from Multiple Images of Large-Scale Environments. European Workshop, SMILE'98. Proceedings},
  isbn         = {3 540 65310 4},
  keyword      = {image reconstruction,motion estimation,uncalibrated cameras,affine shape,structure-motion problem,Euclidean reconstruction,occlusions,computer vision,affine shape and depth},
  language     = {eng},
  pages        = {187--207},
  publisher    = {Springer},
  title        = {Euclidean and Affine Structure/Motion for Uncalibrated Cameras from Affine Shape and Subsidiary Information},
  year         = {1998},
}