Abstract
It is known that recovering projection matrices from planar configurations is ambiguous, thus, posing the problem of model selection - is the scene planar (2D) or non-planar (3D)? For a 2D scene one would recover a homography matrix, whereas for a 3D scene one would recover the fundamental matrix or trifocal tensor. The task of model selection is especially problematic when the scene is neither 2D nor 3D - for example a “thin” volume in space. In this paper we show that for certain tasks, such as reprojection, there is no need to select a model. The ambiguity that arises from a 2D scene is orthogonal to the reprojection process, thus if one desires to use multilinear matching constraints for transferring points along a sequence of views it is possible to do so under any situation of 2D, 3D or “thin” volumes.
Original language | English |
---|---|
Title of host publication | Computer Vision - ECCV 2000 - 6th European Conference on Computer Vision, Proceedings |
Editors | David Vernon |
Publisher | Springer Verlag |
Pages | 936-949 |
Number of pages | 14 |
ISBN (Print) | 3540676856 |
DOIs | |
State | Published - 2000 |
Event | 6th European Conference on Computer Vision, ECCV 2000 - Dublin, Ireland Duration: 26 Jun 2000 → 1 Jul 2000 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
---|---|
Volume | 1842 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 6th European Conference on Computer Vision, ECCV 2000 |
---|---|
Country/Territory | Ireland |
City | Dublin |
Period | 26/06/00 → 1/07/00 |
Bibliographical note
Publisher Copyright:© Springer-Verlag Berlin Heidelberg 2000.