Belief-propagation-based robust decoding for two-dimensional barcodes to overcome distortion and occlusion and its extension to multi-view decoding
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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基于置信传播的二维条形码鲁棒解码克服失真和遮挡及其对多视图解码的扩展
DOI：
10.1109/icip.2015.7351224
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
S. Ono
中科院分区：
文献类型：
--
作者：
Kohei Kamizuru;Yudai Kawakami;Hiroshi Kawasaki;S. Ono
提出了一种对非均匀、复杂失真和遮挡具有鲁棒性的二维码译码方法。打印在纸和布上的2D代码会导致不均匀的扭曲，因为它们不是刚性的。所提出的方法使用2D代码涉及辅助线，允许识别失真和遮挡区域，并使用置信传播（BP）识别线。此外，所提出的方法与多个摄像机，而无需复杂的过程，如校准和注册，从而提高对遮挡的鲁棒性。实验结果表明，该方法可以对非均匀、非平滑失真和遮挡的二维码进行解码。
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.