Speed-up Feature Detector using Adaptive Accelerated Segment Test
Speed-up Feature Detector using Adaptive Accelerated Segment Test
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DOI：
10.1080/02564602.2015.1103669
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发表时间：
2016-02
影响因子：
2.4
通讯作者：
Yenewondim Biadgie;Kyung-ah Sohn
中科院分区：
文献类型：
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作者：
Yenewondim Biadgie;Kyung-ah Sohn
摘要利用图像块的局部特征进行图像匹配是目标识别、运动跟踪、同步定位和地图绘制、立体视觉等高级计算机视觉应用的一个重要阶段，而加速分割测试（FAST）特征在计算速度方面是一种上级特征检测器。在我们以前的研究中，我们提出了一个特征检测器，提高了FAST的速度。在这项研究中，我们扩展它，以进一步加快它。在基准数据集上的实验结果表明，新方法比我们以前的检测器更快，重复性分数略有提高。还提供了一个全面的审查相关的功能检测器，把我们的工作的背景。
ABSTRACT Image matching using local features of an image patch is a primary stage for various higher level computer vision applications such as object recognition, motion tracking, simultaneous localization and mapping, stereo vision, and so on. A feature from accelerated segment test (FAST) has shown to be a superior feature detector in terms of computational speed. In our previous research, we presented a feature detector that improves the speed of FAST. In this study, we extend it to speed up it further. Experimental results on benchmark data-sets reveal that the new method speeds up FAST detector better than our previous detector with marginal improvement in repeatability score. A comprehensive review of related feature detectors is also provided to place our work in context.