集成边缘和角检测

S. Coleman, B. Scotney, D. Kerr
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引用次数: 8

摘要

角点检测被用于许多需要快速高效特征匹配的计算机视觉应用中。对于机器人定位和导航等任务,使用角进行匹配比使用边缘或其他更大的特征更可取。近年来,基于有限元的方法已被用于开发边缘检测的梯度算子,这些算子比标准技术提高了角度精度。我们将这项工作扩展到角点检测,使边缘和角点检测一体化。我们证明,该方法的精度与已知的现有角检测器相当,并且可以显著减少计算时间,使该方法适用于实时计算机视觉和机器人技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrated Edge and Corner Detection
Corner detection is used in many computer vision applications that require fast and efficient feature matching. For tasks such as robot localisation and navigation, the use of corners for matching is preferred over edges or other, larger, features. In recent years finite-element based methods have been used to develop gradient operators for edge detection that have improved angular accuracy over standard techniques. We extend this work to corner detection, enabling edge and corner detection to be integrated. We demonstrate that accuracy is comparable to well-known existing corner detectors, and that significantly reduced computation time can be achieved, making the approach appropriate for real-time computer vision and robotics.
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