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Segments Graph-Based Approach for Document Capture in a Smartphone Video Stream

机译:智能手机视频流中基于片段的基于图的文档捕获方法

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The paper is devoted to the analysis of the problem of document boundaries detection in images and in a video stream. The paper proposes an algorithm for obtaining the position of the document, consisting of very reliable segments of a document boundaries extraction and a construction of an intersection graph that satisfies the projective model of the rectangle. An online algorithm for selecting and integrating possible document positions in a video stream based on the Kalman filter is proposed. The analysis of possible modifications of the algorithm and their effect on the final result are provided. Evaluation of the quality of the document at ICDAR'15 Smartphone Document Capture competition's dataset [1] showed a mean result of 95.5% in Jaccard index of projectively corrected document quadrangles and a 3rd place in the competition.
机译:本文致力于分析图像和视频流中的文档边界检测问题。本文提出了一种用于获取文档位置的算法,该算法包括非常可靠的文档边界提取段和满足矩形投影模型的相交图构造。提出了一种基于卡尔曼滤波器的在线视频中可能的文档位置选择和集成的在线算法。提供了对算法可能的修改及其对最终结果的影响的分析。在ICDAR'15智能手机文档捕获竞赛的数据集[1]中对文档质量的评估显示,投影校正的文档四边形的Jaccard指数的平均结果为95.5 \%,在竞赛中排名第三。

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