Abstract
We introduce a 3 × 3 × 3 tensor Hijk and its dual Hijk which represent the 2D projective mapping of points across three projections (views). The tensor Hijk is a generalization of the well known 2D collineation matrix (homography matrix) and it concatenates two homography matrices to represent the joint mapping across three views. The dual tensor Hijk concatenates two dual homography matrices (mappings of line space) and is responsible for representing the mapping associated with moving points along straight-line paths, i.e., Hijk can be recovered from line-of-sight measurements only.
Original language | English |
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Title of host publication | Computer Vision - ECCV 2000 - 6th European Conference on Computer Vision, Proceedings |
Editors | David Vernon |
Publisher | Springer Verlag |
Pages | 507-521 |
Number of pages | 15 |
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) |
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Volume | 1842 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 6th European Conference on Computer Vision, ECCV 2000 |
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Country/Territory | Ireland |
City | Dublin |
Period | 26/06/00 → 1/07/00 |
Bibliographical note
Publisher Copyright:© Springer-Verlag Berlin Heidelberg 2000.