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2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 1
Geometric and Shading Correction for Images of Printed Materials: A Unified Approach Using Boundary
Washington, D.C., USA
June 27-July 02
ISBN: 0-7695-2158-4
ASCII Text
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Yau-Chat Tsoi, Michael S. Brown, "Geometric and Shading Correction for Images of Printed Materials: A Unified Approach Using Boundary," Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol. 1, pp. 240-246, 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 1, 2004.
 
 
BibTex
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@article{ 10.1109/CVPR.2004.115,
author = {Yau-Chat Tsoi and Michael S. Brown},
title = {Geometric and Shading Correction for Images of Printed Materials: A Unified Approach Using Boundary},
journal ={Computer Vision and Pattern Recognition, IEEE Computer Society Conference on},
volume = {1},
year = {2004},
issn = {1063-6919},
pages = {240-246},
doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2004.115},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
TI - Geometric and Shading Correction for Images of Printed Materials: A Unified Approach Using Boundary
SN - 1063-6919
SP240
EP246
A1 - Yau-Chat Tsoi,
A1 - Michael S. Brown,
PY - 2004
KW - null
VL - 1
JA - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
ER -
 
Yau-Chat Tsoi, Hong Kong University of Science and Technology
Michael S. Brown, Hong Kong University of Science and Technology
We present a novel approach that uses boundary interpolation to correct (1) geometric distortion and (2) shading artifacts present in images of printed materials. Unlike existing approaches, our algorithm can simultaneously correct a variety of geometric distortions, including skew, fold distortion, binder curl, and combinations of these. In addition, the same interpolation framework can estimate the intrinsic illumination component of the distorted image to correct shading artifacts.
Citation:
Yau-Chat Tsoi, Michael S. Brown, "Geometric and Shading Correction for Images of Printed Materials: A Unified Approach Using Boundary," cvpr, vol. 1, pp.240-246, 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 1, 2004
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