Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/55124
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Type: Conference paper
Title: Exact Integral Images at Generic Angles for 2D Barcode Detection
Author: Chin, T.J.
Goh, H.
Tan, N.M.
Citation: Proceedings of the 19th International Conference on Pattern Recognition (ICPR), Tampa, Florida, USA., 2008: pp.1-4
Publisher: IEEE
Publisher Place: Online
Issue Date: 2008
ISBN: 9781424421749
Conference Name: International Conference on Pattern Recognition (19th : 2008 : Florida)
Statement of
Responsibility: 
Tat-Jun Chin, Hanlin Goh and Ngan-Meng Tan
Abstract: Using integral images for fast computation of sums of rectangular areas is very popular in computer vision.However the method does not extend naturally to rotations at arbitrary angles. We propose a novel solution to elegantly compute integral images at generic angles. Our method is exact in the sense that no approximations are used to derive it and it is vulnerable only to the unavoidable aliasing effects of discretization. Detailed experiments show that our method is more accurate than previously proposed ideas. We also demonstrate its usefulness by detecting 2D barcodes embedded in images.
RMID: 0020093431
DOI: 10.1109/ICPR.2008.4761169
Appears in Collections:Computer Science publications

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