Euclidean and Affine Structure/Motion for Uncalibrated Cameras from Affine Shape and Subsidiary Information
Författare
Summary, in English
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
Avdelning/ar
Publiceringsår
1998
Språk
Engelska
Sidor
187-207
Publikation/Tidskrift/Serie
3D Structure from Multiple Images of Large-Scale Environments. European Workshop, SMILE'98. Proceedings
Dokumenttyp
Konferensbidrag
Förlag
Springer
Ämne
- Mathematics
Nyckelord
- image reconstruction
- motion estimation
- uncalibrated cameras
- affine shape
- structure-motion problem
- Euclidean reconstruction
- occlusions
- computer vision
- affine shape and depth
Conference name
3D Structure from Multiple Images of Large-Scale Environments. European Workshop, SMILE'98. Proceedings
Conference date
1998-06-06 - 1998-06-07
Conference place
Freiburg, Germany
Status
Published
ISBN/ISSN/Övrigt
- ISBN: 3 540 65310 4