NDLI: On the dimensionality of video bricks under varying illumination

Content Provider	IEEE Xplore Digital Library
Author	Youdong Zhao Xi Song Yunde Jia
Copyright Year	2012
Description	Author affiliation: Beijing Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing 100081, PR China (Youdong Zhao; Xi Song; Yunde Jia)
Abstract	Illumination models of the image set of an object (e.g., human face) under varying lighting conditions have been either empirically or analytically explored. However, the theoretical dimensionality of video bricks of an object under varying illumination is still unknown. In this paper, we focus on this question concretely and give both analytical and empirical results. We derive the theoretical upper bound of the dimensionality of video bricks by investigating the analytical formula of appearance changes due to motion variables of light sources. Theoretical results show in real-world scenes video bricks of an object under varying illumination could be expressed well by a low-dimensional linear subspace. Empirical results of the principal component analysis on the YaleB Face database and our video database are consistent with the theoretical results completely. The application of the low-dimensional linear models of video bricks is demonstrated by the foreground detection task in visual surveillance with drastic illumination changes.
Starting Page	222
Ending Page	229
File Size	659862
Page Count	8
File Format	PDF
ISBN	9781467312264
ISSN	10636919
e-ISBN	9781467312288
e-ISBN	9781467312271
DOI	10.1109/CVPR.2012.6247679
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lighting Light sources Upper bound Face Video sequences Eigenvalues and eigenfunctions Databases
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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