An experimental comparison of range image segmentation algorithms
An experimental comparison of range image segmentation algorithms
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DOI：
10.1109/34.506791
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发表时间：
1996-07-01
影响因子：
23.6
通讯作者：
Fisher, RB
中科院分区：
文献类型：
--
作者：
Hoover, A;JeanBaptiste, G;Fisher, RB
提出了一种评估距离图像分割算法的方法。该方法涉及1)一组常用的40张激光测距仪图像和40张结构光扫描仪图像，这些图像手动指定了地面真实度；2)一组已定义的性能指标，用于正确分割、缺失和噪声区域、过度分割和欠分割以及恢复几何形状的准确性。使用工具客观地比较机器生成的分割与指定的基础事实。四个研究小组已经贡献了评估自己的算法分割范围图像到平面补丁。
A methodology for evaluating range image segmentation algorithms is proposed. This methodology involves 1) a common set of 40 laser range finder images and 40 structured light scanner images that have manually specified ground truth and 2) a set of defined performance metrics for instances of correctly segmented, missed, and noise regions, over- and under-segmentation, and accuracy of the recovered geometry. A tool is used to objectively compare a machine generated segmentation against the specified ground truth. Four research groups have contributed to evaluate their own algorithm for segmenting a range image into planar patches.