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

doi:10.1109/ICIP.2015.7351224

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 proceeding › Conference contribution

6 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 language	English
Title of host publication	2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings
Publisher	IEEE Computer Society
Pages	2359-2363
Number of pages	5
Volume	2015-December
ISBN (Electronic)	9781479983391
DOIs	https://doi.org/10.1109/ICIP.2015.7351224
Publication status	Published - Dec 9 2015
Externally published	Yes
Event	IEEE International Conference on Image Processing, ICIP 2015 - Quebec City, Canada Duration: Sept 27 2015 → Sept 30 2015

Other

Other	IEEE International Conference on Image Processing, ICIP 2015
Country/Territory	Canada
City	Quebec City
Period	9/27/15 → 9/30/15

All Science Journal Classification (ASJC) codes

Software
Computer Vision and Pattern Recognition
Signal Processing

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10.1109/ICIP.2015.7351224

Cite this

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

Belief-propagation-based robust decoding for two-dimensional barcodes to overcome distortion and occlusion and its extension to multi-view decoding. / Kamizuru, Kohei; Kawakami, Yudai; Kawasaki, Hiroshi et al.
2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings. Vol. 2015-December IEEE Computer Society, 2015. p. 2359-2363 7351224.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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, 7351224, IEEE Computer Society, pp. 2359-2363, IEEE International Conference on Image Processing, ICIP 2015, Quebec City, Canada, 9/27/15. https://doi.org/10.1109/ICIP.2015.7351224

Kamizuru K, Kawakami Y, Kawasaki H, Ono S. 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. IEEE Computer Society. 2015. p. 2359-2363. 7351224 doi: 10.1109/ICIP.2015.7351224

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AB - 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.

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

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