NDLI: Analytic Bilinear Appearance Subspace Construction for Modeling Image Irradiance under Natural Illumination and Non-Lambertian Reflectance

Content Provider	IEEE Xplore Digital Library
Author	Elhabian, S.Y. Farag, A.A.
Copyright Year	2013
Description	Author affiliation: ECE Dept., Univ. of Louisville, Louisville, KY, USA (Elhabian, S.Y.; Farag, A.A.)
Abstract	Conventional subspace construction approaches suffer from the need of "large-enough" image ensemble rendering numerical methods intractable. In this paper, we propose an analytic formulation for low-dimensional subspace construction in which shading cues lie while preserving the natural structure of an image sample. Using the frequency-space representation of the image irradiance equation, the process of finding such subspace is cast as establishing a relation between its principal components and that of a deterministic set of basis functions, termed as irradiance harmonics. Representing images as matrices further lessen the number of parameters to be estimated to define a bilinear projection which maps the image sample to a lower-dimensional bilinear subspace. Results show significant impact on dimensionality reduction with minimal loss of information as well as robustness against noise.
Starting Page	1446
Ending Page	1451
File Size	5149504
Page Count	6
File Format	PDF
ISBN	9780769549897
ISSN	10636919
DOI	10.1109/CVPR.2013.190
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lighting Harmonic analysis Principal component analysis Image reconstruction Materials Gold Surface reconstruction illumination modeling image irradiance equation analytic subspaces (hemi)spherical harmonics
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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