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Chord Angle Deviation using Tangent (CADT), an efficient and robust contour-based corner detector

机译:使用正切(CADT)的弦角度偏差,切线(CADT)是一种高效且强大的基于轮廓的拐角检测器

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摘要

Detection of corner is the most essential process in a large number of computer vision and image processing applications. We have mentioned a number of popular contour-based corner detectors in our paper. Among all these detectors chord to triangular arm angle (CTAA) has been demonstrated as the most dominant corner detector in terms of average repeatability. We introduce a new effective method to calculate the value of curvature in this paper. By demonstrating experimental results, our proposed technique outperforms CTAA and other detectors mentioned in this paper. The results exhibit that our proposed method is simple yet efficient at finding out corners more accurately and reliably.
机译:在大量计算机视觉和图像处理应用程序中,角点检测是最重要的过程。我们在论文中提到了许多流行的基于轮廓的拐角检测器。在所有这些检测器中,就平均重复性而言,弦至三角臂角(CTAA)已被证明是最主要的拐角检测器。本文介绍一种新的有效方法来计算曲率值。通过演示实验结果,我们提出的技术优于CTAA和本文提到的其他检测器。结果表明,我们提出的方法既简单又有效,可以更准确,更可靠地找出角点。

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