Relighting with the reflected irradiance field: Representation, sampling and reconstruction

Zhouchen Lin, Tien Tsin Wong, Heung Yeung Shum

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

13 Citations (Scopus)

Abstract

Image-based relighting (IBL) is a technique to change the illumination of an image-based object/scene. In this paper, we define a representation called the reflected irradiance field which records the reflection from an object surface irradiated by a point light source that moves on a plane. This representation is dual to that of the light field. It synthesizes a novel image under a different illumination by interpolating and superimposing appropriate recorded samples. Furthermore, we study the minimum sampling problem of the reflected irradiance field, i.e., how many point light sources are needed during sampling. We find that there exists a geometry-independent bound for the sampling interval whenever the second-order derivatives of the surface BRDF and the minimum depth of the scene are bounded. This bound ensures that the error in the reconstructed image is controlled by a given tolerance, regardless of the geometry. Experiments on both synthetic and real surfaces are conducted to verify our analysis.

Original languageEnglish
Title of host publicationProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
PublisherIEEE, Institute of Electrical and Electronics Engineers
PagesI561-I567
Number of pages7
Volume1
DOIs
Publication statusPublished - 2003
Externally publishedYes
EventIEEE Conference on Computer Vision and Pattern Recognition 2001 - Kauai, United States of America
Duration: 8 Dec 200114 Dec 2001
https://ieeexplore.ieee.org/xpl/conhome/7768/proceeding?isnumber=21353 (Proceedings)

Conference

ConferenceIEEE Conference on Computer Vision and Pattern Recognition 2001
Abbreviated titleCVPR 2001
Country/TerritoryUnited States of America
CityKauai
Period8/12/0114/12/01
Internet address

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