Towards robust color recovery for high-capacity color QR codes
Refereed conference paper presented and published in conference proceedings

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其它資訊
摘要Color brings extra data capacity for QR codes, but it also brings tremendous challenges to the decoding because of color interference and illumination variation, especially for high-density QR codes. In this paper, we put forth a framework for high-capacity QR codes, HiQ, which optimizes the decoding algorithm for high-density QR codes to achieve robust and fast decoding on mobile devices, and adopts a learning-based approach for color recovery. Moreover, we propose a robust geometric transformation algorithm to correct the geometric distortion. We also provide a challenging color QR code dataset, CUHK-CQRC, which consists of 5390 high-density color QR code samples captured by different smartphones under different lighting conditions. Experimental results show that HiQ outperforms the baseline [1] by 286% in decoding success rate and 60% in bit error rate.
著者Yang Z., Cheng Z., Loy C.C., Lau W.C., Li C.M., Li G.
會議名稱23rd IEEE International Conference on Image Processing, ICIP 2016
會議開始日25.09.2016
會議完結日28.09.2016
會議地點Phoenix
會議國家/地區美國
詳細描述organized by IEEE,
出版年份2016
月份8
日期3
卷號2016-August
頁次2866 - 2870
國際標準書號9781467399616
國際標準期刊號1522-4880
語言英式英語
關鍵詞Color interference, Color recovery, High capacity, Illumination variation, QR code

上次更新時間 2020-16-10 於 01:20