Automated performance evaluation of range image segmentation

WACV(2000)

引用 17|浏览9
暂无评分
摘要
We have developed an automated framework for objectively evaluating the performance of region segmentation algorithms. This framework is demonstrated with range image data sets, but is applicable to any type of imagery. Parameters of the segmentation algorithm are tuned using training images. Images and source code for the training process care publicly available. The trained parameters are then used to evaluate the algorithm on a (sequestered) test set. The primary performance metric is the average number of correctly segmented regions. Statistical tests are used to determine the significance of performance improvement over a baseline algorithm.
更多
查看译文
关键词
range image data sets,image segmentation,region segmentation,performance improvement,software performance evaluation,baseline algorithm,performance evaluation,statistical test,source code
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要