Using Plane + Parallax for Calibrating

Dense Camera Arrays


Vaibhav Vaish

Stanford University

Bennett Wilburn

Stanford University

Neel Joshi

Stanford University

Marc Levoy

Stanford University


Proc. of CVPR 2004




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 than better results than full metric calibration.



Image from one of the cameras Synthetic aperture image, using parallax-based calibration


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Students behind bushes, using parallax-based calibration

Students behind bushes, using full metric calibration

Cyclist behind bushes