Belief-propagation-based robust decoding for two-dimensional barcodes to overcome distortion and occlusion and its extension to multi-view decoding

Kohei Kamizuru, Yudai Kawakami, Hiroshi Kawasaki, Satoshi Ono

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This paper proposes a decoding method of 2D code robust against non-uniform, complicated distortion and occlusion. 2D codes printed on paper and cloth cause non-uniform distortions because they are not rigid. The proposed method uses 2D code involving auxiliary lines which allow recognition of distortion and occluded areas, and identify the lines using Belief Propagation (BP). In addition, the proposed method works with more than one camera without complicated processes such as calibration and registration, resulting in enhancing robustness against occlusion. Experimental results show that the proposed method can decode the 2D code with non-uniform, non-smooth distortions and occlusion.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings
PublisherIEEE Computer Society
Pages2359-2363
Number of pages5
Volume2015-December
ISBN (Electronic)9781479983391
DOIs
Publication statusPublished - Dec 9 2015
Externally publishedYes
EventIEEE International Conference on Image Processing, ICIP 2015 - Quebec City, Canada
Duration: Sep 27 2015Sep 30 2015

Other

OtherIEEE International Conference on Image Processing, ICIP 2015
CountryCanada
CityQuebec City
Period9/27/159/30/15

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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    Kamizuru, K., Kawakami, Y., Kawasaki, H., & Ono, S. (2015). Belief-propagation-based robust decoding for two-dimensional barcodes to overcome distortion and occlusion and its extension to multi-view decoding. In 2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings (Vol. 2015-December, pp. 2359-2363). [7351224] IEEE Computer Society. https://doi.org/10.1109/ICIP.2015.7351224