Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/CVPR.2004.1315006 | CVPR (1) |
Keywords | Field | DocType |
plane-parallax framework,shape recovery,calibration,image processing,metric calibration,computer graphics,computational geometry,photography,affine coordinate system,rendering (computer graphics),image based rendering,cameras,camera position estimation,light field images,synthetic aperture photography,geometry,dense camera arrays,computer graphic,light field | Computer vision,Parallax,Computer science,Real-time rendering,Computational photography,Image processing,Light field,Artificial intelligence,Rendering (computer graphics),Image-based modeling and rendering,Rendering equation | Conference |
Volume | ISSN | ISBN |
1 | 1063-6919 | 0-7695-2158-4 |
Citations | PageRank | References |
75 | 8.36 | 15 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vaibhav Vaish | 1 | 579 | 46.38 |
| Bennett Wilburn | 2 | 843 | 63.95 |
| Neel Joshi | 3 | 1155 | 63.95 |
| Marc Levoy | 4 | 10273 | 1073.33 |