DocumentCode :
2476467
Title :
Exact integral images at generic angles for 2D barcode detection
Author :
Chin, Tat-Jun ; Goh, Hanlin ; Tan, Ngan-Meng
Author_Institution :
Comput. Vision & Image Understanding Dept., Inst. for Infocomm Res., Singapore, Singapore
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
1
Lastpage :
4
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.
Keywords :
bar codes; computational geometry; computer vision; object detection; 2D barcode detection; computer vision; generic angle; integral image; object detection; rectangular shape rotation; Computer vision; Embedded computing; Image edge detection; Object detection; Pixel; Rendering (computer graphics);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
ISSN :
1051-4651
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
Type :
conf
DOI :
10.1109/ICPR.2008.4761169
Filename :
4761169
Link To Document :
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