Estimating illumination parameters in real space with application to image relighting

Feng Xie*, Linmi Tao, Guangyou Xu, Huijun Di

*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

A novel algorithm is presented in this paper for estimating the direction and strength of point light with the strength of ambient illumination. Existing approaches estimate these illumination parameters directly in the high dimensional image space, while we estimate the parameters in two steps: first to project the image to an orthogonal linear subspace based on spherical harmonic basis functions; then to calculate the parameters in the low dimensional subspace. The experimental results on CMU PIE database and Yale Database B showed the stability and effectiveness of this method. The resulting illumination information can help to synthesize more realistic relighting images and recognize object under variable illumination.

Original languageEnglish
Title of host publicationComputer Vision - ACCV 2006 - 7th Asian Conference on Computer Vision, Proceedings
Pages490-499
Number of pages10
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event7th Asian Conference on Computer Vision, ACCV 2006 - Hyderabad, India
Duration: 13 Jan 200616 Jan 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3851 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th Asian Conference on Computer Vision, ACCV 2006
Country/TerritoryIndia
CityHyderabad
Period13/01/0616/01/06

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