DocumentCode
3748544
Title
The Joint Image Handbook
Author
Matthew Trager;Martial Hebert;Jean Ponce
fYear
2015
Firstpage
909
Lastpage
917
Abstract
Given multiple perspective photographs, point correspondences form the "joint image", effectively a replica of three dimensional space distributed across its two-dimensional projections. This set can be characterized by multilinear equations over image coordinates, such as epipolar and trifocal constraints. We revisit in this paper the geometric and algebraic properties of the joint image, and address fundamental questions such as how many and which multilinearities are necessary and/or sufficient to determine camera geometry and/or image correspondences. The new theoretical results in this paper answer these questions in a very general setting and, in turn, are intended to serve as a "handbook" reference about multilinearities for practitioners.
Keywords
"Cameras","Geometry","Manganese","Tensile stress","Conferences","Computer vision","Algebra"
Publisher
ieee
Conference_Titel
Computer Vision (ICCV), 2015 IEEE International Conference on
Electronic_ISBN
2380-7504
Type
conf
DOI
10.1109/ICCV.2015.110
Filename
7410467
Link To Document