DocumentCode
1487249
Title
Combined Affine Geometric Transformations and Spatially Dependent Radiometric Deformations: A Decoupled Linear Estimation Framework
Author
Bentolila, J. ; Francos, Joseph M.
Author_Institution
Dept. of Electr. & Comput. Eng., Ben-Gurion Univ., Beer-Sheva, Israel
Volume
20
Issue
10
fYear
2011
Firstpage
2886
Lastpage
2895
Abstract
This paper considers the problem of registering two observations of the same object, where the observations differ due to a combined effect of an affine geometric transformation and nonuniform illumination changes. The problem of deriving new representations of the observations that are both invariant to geometric transformations and linear in the illumination model is analyzed. In this framework, we present a novel method for linear estimation of illumination changes in an affine invariant manner, thus, decoupling the original problem into two simpler ones. The computational complexity of the method is low as it requires no more than solving a linear set of equations. The prior step of illumination estimation is shown to improve the accuracy of state-of-the-art registration techniques by a factor of two.
Keywords
affine transforms; geometry; image registration; object tracking; pose estimation; affine geometric transformation; affine invariant; computational complexity; decoupled linear estimation framework; illumination estimation; illumination model; nonuniform illumination change; object tracking; pose estimation; registration technique; spatially dependent radiometric deformation; Equations; Estimation; Kernel; Lighting; Mathematical model; Pixel; Radiometry; Affine invariance; affine invariant features; geometric distortion; illumination invariance; object tracking; pose estimation;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/TIP.2011.2136353
Filename
5741849
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