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Shape reconstruction and image restoration for non-flat surfaces of documents with a stereo vision system

机译:具有立体视觉系统的非平面文档的形状重建和图像恢复

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摘要

In this paper, we propose a shape reconstruction and image restoration method for paper documents with curved surfaces or fold lines by using a stereo vision system. Characters in images of thick book's pages acquired with an image scanner are difficult to recognize because they are deformed under the influence of curved surface. Therefore, 3-D shape reconstruction of the book's surface is executed from the result of the stereoscopic measurement by putting the book upward, and an image of a flat surface is recovered from the curved or folded surface. The validity of the proposed method is shown through experiments.
机译:在本文中,我们提出了一种利用立体视觉系统对具有弯曲表面或折线的纸质文档进行形状重构和图像恢复的方法。用图像扫描仪获取的厚书页面图像中的字符难以识别,因为它们在曲面的影响下会变形。因此,通过向上倾斜书本从立体测量的结果执行书本表面的3D形状重构,并且从弯曲或折叠的表面恢复平坦表面的图像。通过实验证明了该方法的有效性。

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