Localization accuracy of region detectors
Localization accuracy of region detectors
复制标题
区域检测器的定位精度
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
Steffen Abraham
中科院分区：
文献类型：
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作者：
Andreas Haja;B. Jähne;Steffen Abraham
本文比较了五种最先进的区域检测器在位置和区域形状方面的定位精度。基于仔细估计的地面真实单应关系，使用几何区域重叠来指定帧之间的对应关系。根据图像类型的不同，探测器之间存在显著差异。研究还表明，对于某些检测器，定位精度与区域尺度成线性关系，这可以作为去除易出错区域的预选准则。提出的结果是对现有比较研究的补充，可用于促进为特定的目标应用选择适当的探测器。当使用描述符距离而不是区域重叠作为分配标准时，不同的对应集合的准确率较低。集合差异(因此定位精度)与局部邻域中区域的密度直接相关。在此基础上，提出了一种新的错误区域识别方法--形状唯一性。与现有的基于区域对应的描述符距离的方法不同，新的度量是单独在每幅图像上预先计算的。因此，可以显著降低后续匹配任务的复杂性。
In this paper, a comparison of five state of the art region detectors is presented with regard to localization accuracy in position and region shape. Based on carefully estimated ground truth homographies, correspondences between frames are assigned using geometrical region overlap. Significant differences between detectors exist, depending on the type of images. Also, it is shown that localization accuracy linearly depends on region scale for some detectors, which may thus be used as a pre-selection criterion for the removal of error-prone regions. The presented results serve as a supplement to existing comparative studies, and can be used to facilitate the selection of an appropriate detector for a specific target application. When descriptor distance is used as assignment criterion instead of region overlap, a different set of correspondences results with lower accuracy. Set differences (and thus localization accuracy) are directly related to the density of regions in a local neighborhood. Based on the latter, a novel measure for the identification of error-prone regions - shape uniqueness - is introduced. In contrast to existing methods that are based on the descriptor distance of region correspondences, the new measure is pre-computed on each image individually. Thus, the complexity of the subsequent matching task can be significantly reduced.