DocumentCode
2763243
Title
Metric rectification for perspective images of planes
Author
Liebowitz, David ; Zisserman, Andrew
Author_Institution
Dept. of Eng. Sci., Oxford Univ., UK
fYear
1998
fDate
23-25 Jun 1998
Firstpage
482
Lastpage
488
Abstract
We describe the geometry constraints and algorithmic implementation for metric rectification of planes. The rectification allows metric properties, such as angles and length ratios, to be measured on the world plane from a perspective image. The novel contributions are: first, that in a stratified context the various forms of providing metric information, which include a known angle, two equal though unknown angles, and a known length ratio; can all be represented as circular constraints on the parameters of an affine transformation of the plane-this provides a simple and uniform framework for integrating constraints; second, direct rectification from right angles in the plane; third, it is shown that metric rectification enables calibration of the internal camera parameters; fourth, vanishing points are estimated using a Maximum Likelihood estimator; fifth, an algorithm for automatic rectification. Examples are given for a number of images, and applications demonstrated for texture map acquisition and metric measurements
Keywords
calibration; computational geometry; computer vision; maximum likelihood estimation; affine transformation; algorithmic implementation; calibration; direct rectification; geometry constraints; internal camera parameters; maximum likelihood estimator; metric information; metric rectification; perspective image; perspective images; stratified context; texture map acquisition; vanishing points; world plane; Application software; Cameras; Computational geometry; Computer vision; Identity-based encryption; Maximum likelihood estimation; Microwave integrated circuits; Programmable logic arrays; Read only memory; Robots;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1998. Proceedings. 1998 IEEE Computer Society Conference on
Conference_Location
Santa Barbara, CA
ISSN
1063-6919
Print_ISBN
0-8186-8497-6
Type
conf
DOI
10.1109/CVPR.1998.698649
Filename
698649
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