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2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 1
Using Plane + Parallax for Calibrating Dense Camera Arrays
Washington, D.C., USA
June 27-July 02
ISBN: 0-7695-2158-4
Vaibhav Vaish, Stanford University
Bennett Wilburn, Stanford University
Neel Joshi, Stanford University
Marc Levoy, Stanford University
A light field consists of images of a scene taken from different viewpoints. Light fields are used in computer graphics for image-based rendering and synthetic aperture photography, and in vision for recovering shape. In this paper, we describe a simple procedure to calibrate camera arrays used to capture light fields using a plane + parallax framework. Specifically, for the case when the cameras lie on a plane, we show (i) how to estimate camera positions up to an affine ambiguity, and (ii) how to reproject light field images onto a family of planes using only knowledge of planar parallax for one point in the scene. While planar parallax does not completely describe the geometry of the light field, it is adequate for the first two applications which, it turns out, do not depend on having a metric calibration of the light field. Experiments on acquired light fields indicate that our method yields better results than full metric calibration.
Citation:
Vaibhav Vaish, Bennett Wilburn, Neel Joshi, Marc Levoy, "Using Plane + Parallax for Calibrating Dense Camera Arrays," cvpr, vol. 1, pp.2-9, 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 1, 2004
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