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

机译:段落的文档捕获方法基于图形的方法智能手机视频流

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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件边界检测问题。本文提出了一种用于获得文档的位置的算法,由文档边界提取的非常可靠的段组成,以及满足矩形投射模型的交叉图的结构。提出了一种用于基于Kalman滤波器的视频流中的选择和集成可能的文档位置的在线算法。提供了对算法可能修改的分析及其对最终结果的影响。在ICDAR'15智能手机文件捕获竞赛的数据集中评估文件的质量[1]显示了在竞争中投影纠正文件四边形的jaccard指数和竞争中第三名的jaccard指数的平均结果。

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