基于弦点距离积累技术的快速角点检测

M. Awrangjeb, Guojun Lu, C. Fraser, M. Ravanbakhsh
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引用次数: 56

摘要

先前提出的基于弦点距离积累(CPDA)技术的等高线多尺度角点检测器,与许多其他单尺度和多尺度检测器相比,具有较强的鲁棒性。然而,原始的CPDA检测器计算成本很高,因为它计算曲线上每个点上的CPDA离散曲率。提出的改进方法在CPDA曲率估计之前先得到一组可能的候选点。CPDA曲率仅在这些选定的候选点上估计。因此,改进的CPDA检测器变得更快,同时保留了与原始CPDA检测器相似的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Fast Corner Detector Based on the Chord-to-Point Distance Accumulation Technique
The previously proposed contour-based multi-scale corner detector based on the chord-to-point distance accumulation (CPDA) technique has proved its superior robustness over many other single- and multi-scale detectors. However, the original CPDA detector is computationally expensive since it calculates the CPDA discrete curvature on each point of the curve. The proposed improvement obtains a set of probable candidate points before the CPDA curvature estimation. The CPDA curvature is estimated on these chosen candidate points only. Consequently, the improved CPDA detector becomes faster, while retaining a similar robustness to the original CPDA detector.
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