Please use this identifier to cite or link to this item: https://doi.org/10.1109/CVPRW.2006.24
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dc.titleAdaptive environment map for relighting: Using cameras and projected light
dc.contributor.authorShim H.
dc.contributor.authorChen T.
dc.date.accessioned2018-08-21T05:08:13Z
dc.date.available2018-08-21T05:08:13Z
dc.date.issued2006
dc.identifier.citationShim 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
dc.identifier.isbn0769526462
dc.identifier.isbn9780769526461
dc.identifier.issn10636919
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/146284
dc.description.abstractScene 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.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentOFFICE OF THE PROVOST
dc.contributor.departmentDEPARTMENT OF COMPUTER SCIENCE
dc.description.doi10.1109/CVPRW.2006.24
dc.description.sourcetitleProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
dc.description.volume2006
dc.description.page1640439
dc.description.codenPIVRE
dc.published.statepublished
Appears in Collections:Staff Publications

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