Please use this identifier to cite or link to this item: https://doi.org/10.1109/CVPRW.2006.24
Title: Adaptive environment map for relighting: Using cameras and projected light
Authors: Shim H.
Chen T. 
Issue Date: 2006
Citation: Shim H., Chen T. (2006). Adaptive environment map for relighting: Using cameras and projected light. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2006 : 1640439. ScholarBank@NUS Repository. https://doi.org/10.1109/CVPRW.2006.24
Abstract: Scene relighting has found applications in many areas, from movie special effects to building immersive environments. In this paper, we present a framework to render a scene under any prescribed lighting environments. First, we propose a 3D scanner that captures the scene geometry and reflectance simultaneously, by effectively using an uncalibrated camera, and light and shadows projected from a controlled lighting plane onto the scene. Then, a large camera array, composed of 48 cameras forming a planar array, is built to capture a lighting environment as a 4D incident light field. With the scene properties captured by the 3D scanner, and the lighting environment captured by the camera array, we can then relight the scene using a technique we develop, called the adaptive environment map (AEM). AEM, which fully describes the lighting environment including both spatial and directional variations, can render more realistic relighting results than existing techniques in literature, as shown in extensive experiments.
Source Title: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
URI: http://scholarbank.nus.edu.sg/handle/10635/146284
ISBN: 0769526462
9780769526461
ISSN: 10636919
DOI: 10.1109/CVPRW.2006.24
Appears in Collections:Staff Publications

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