Improved repeatability measures for evaluating performance of feature detectors
Improved repeatability measures for evaluating performance of feature detectors
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DOI：
10.1049/el.2010.1442
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发表时间：
2010-07-08
影响因子：
1.1
通讯作者：
McDonald-Maier, K. D.
中科院分区：
文献类型：
--
作者：
Ehsan, S.;Kanwal, N.;McDonald-Maier, K. D.
局部特征检测器的性能表征最常用的措施是可重复性，但已经观察到，这并不一定反映实际性能。提出了改进的可重复性配方，更好地与功能检测器的真实性能。几个国家的最先进的功能检测器的比较结果使用这些措施，它被发现，海森为基础的检测器一般是上级识别功能时，图像受到各种几何和光度变换。
The most frequently employed measure for performance characterisation of local feature detectors is repeatability, but it has been observed that this does not necessarily mirror actual performance. Presented are improved repeatability formulations which correlate much better with the true performance of feature detectors. Comparative results for several state-of-the-art feature detectors are presented using these measures; it is found that Hessian-based detectors are generally superior at identifying features when images are subject to various geometric and photometric transformations.