DocumentCode
598255
Title
Modeling image irradiance under natural illumination and isotropic surface reflectance
Author
Elhabian, Shireen Y. ; Farag, A.A.
Author_Institution
Comput. Vision & Image Process. Lab., Univ. of Louisville, Louisville, KY, USA
fYear
2012
fDate
Sept. 30 2012-Oct. 3 2012
Firstpage
3013
Lastpage
3016
Abstract
Discounting subsurface scattering and surface emittance, this work seeks to address the question; how to accurately represent image irradiance under unknown general illumination and reflectance, given that a surface point sees its surrounding world through the local upper hemisphere oriented by the surface normal at this point. In this paper, we formulate the image formation process of isotropic surfaces under arbitrary distant illumination in the frequency space while addressing the physical compliance of hemispherical basis for representing surface reflectance, e.g. Helmholtz reciprocity and isotropy. This representation is further reduced in dimensionality through analytically deriving the principal components of the image irradiance. A database of natural illumination and real world surface materials are used to compute a general-purpose basis which captures the full behavior of illumination and reflectance in a lower-dimensional subspace for image irradiance representation. Compared to similar basis in literature, our proposed basis achieves higher accuracy levels at lower illumination orders.
Keywords
image representation; principal component analysis; Helmholtz isotropy; Helmholtz reciprocity; frequency space; image formation process; image irradiance modeling; image irradiance representation; isotropic surface reflectance; natural illumination; principal component analysis; subsurface scattering; surface emittance; Databases; Eigenvalues and eigenfunctions; Harmonic analysis; Lighting; Materials; Rendering (computer graphics); Surface treatment; Spherical harmonics; frequency-space representation; helmholtz reciprocity; hemispherical harmonics; image irradiance;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location
Orlando, FL
ISSN
1522-4880
Print_ISBN
978-1-4673-2534-9
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2012.6467534
Filename
6467534
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