DocumentCode
1496701
Title
Efficient Relighting of RBF-Based Illumination Adjustable Images
Author
Ho, Tze-Yiu ; Leung, Chi Sing ; Lam, Ping-Man ; Wong, Tien-Tsin
Author_Institution
Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, China
Volume
20
Issue
12
fYear
2009
Firstpage
1987
Lastpage
1993
Abstract
An illumination adjustable image (IAI) contains a large number of prerecorded images under various light directions. Relighting a scene under complicated lighting conditions can be achieved from the IAI. Using the radial basis function (RBF) approach to represent an IAI is proven to be more efficient than using the spherical harmonic approach. However, to represent high-frequency lighting effects, we need to use many RBFs. Hence, the relighting speed could be very slow. This brief investigates a partial reconstruction scheme for relighting an IAI based on the locality of RBFs. Compared with the conventional RBF and spherical harmonics (SH) approaches, the proposed scheme has a much faster relighting speed under the similar distortion performance.
Keywords
image processing; lighting; radial basis function networks; IAI partial reconstruction scheme; illumination adjustable image; radial basis function; spherical harmonic approach; spherical harmonics approach; Illumination adjustable image (IAI); lightmap; plenoptic illumination function (PIF); radial basis function (RBF); Humans; Image Interpretation, Computer-Assisted; Lighting; Neural Networks (Computer); Optical Processes; Pattern Recognition, Automated;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/TNN.2009.2032765
Filename
5282524
Link To Document