DocumentCode
3401693
Title
Admissible linear map models of linear cameras
Author
Batog, Guillaume ; Goaoc, Xavier ; Ponce, Jean
Author_Institution
Univ. de Nancy 2, Nancy, France
fYear
2010
fDate
13-18 June 2010
Firstpage
1578
Lastpage
1585
Abstract
This paper presents a complete analytical characterization of a large class of central and non-central imaging devices dubbed linear cameras by Ponce. Pajdla has shown that a subset of these, the oblique cameras, can be modelled by a certain type of linear map. We give here a full tabulation of all admissible maps that induce cameras in the general sense of Grossberg and Nayar, and show that these cameras are exactly the linear ones. Combining these two models with a new notion of intrinsic parameters and normalized coordinates for linear cameras allows us to give simple analytical formulas for direct and inverse projections. We also show that the epipolar geometry of any two linear cameras can be characterized by a fundamental matrix whose size is at most 6 × 6 when the cameras are uncalibrated, or by an essential matrix of size at most 4 × 4 when their internal parameters are known. Similar results hold for trinocular constraints.
Keywords
cameras; geometry; matrix algebra; admissible linear map model; admissible map; dubbed linear camera; epipolar geometry; fundamental matrix; non-central imaging device; oblique camera; trinocular constraint; Cameras; Geometrical optics; Geometry; Optical devices; Optical imaging; Optical refraction; Optical sensors; Retina; Solid modeling; Stimulated emission;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on
Conference_Location
San Francisco, CA
ISSN
1063-6919
Print_ISBN
978-1-4244-6984-0
Type
conf
DOI
10.1109/CVPR.2010.5539784
Filename
5539784
Link To Document