一种评估距离图像分割技术的方法

IEEE Workshop/Winter Conference on Applications of Computer Vision Pub Date : 1994-12-05 DOI:10.1109/ACV.1994.341320

A. Hoover, G. Jean-Baptiste, Dmitry Goldgof, K. Bowyer

{"title":"一种评估距离图像分割技术的方法","authors":"A. Hoover, G. Jean-Baptiste, Dmitry Goldgof, K. Bowyer","doi":"10.1109/ACV.1994.341320","DOIUrl":null,"url":null,"abstract":"This paper describes a definition of the range image segmentation (of polyhedral scenes) problem, a data set to use in evaluation, a method for specifying ground truth, and a set of metrics to classify segmentation results against ground truths. >","PeriodicalId":236308,"journal":{"name":"IEEE Workshop/Winter Conference on Applications of Computer Vision","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"A methodology for evaluating range image segmentation techniques\",\"authors\":\"A. Hoover, G. Jean-Baptiste, Dmitry Goldgof, K. Bowyer\",\"doi\":\"10.1109/ACV.1994.341320\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a definition of the range image segmentation (of polyhedral scenes) problem, a data set to use in evaluation, a method for specifying ground truth, and a set of metrics to classify segmentation results against ground truths. >\",\"PeriodicalId\":236308,\"journal\":{\"name\":\"IEEE Workshop/Winter Conference on Applications of Computer Vision\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-12-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Workshop/Winter Conference on Applications of Computer Vision\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACV.1994.341320\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Workshop/Winter Conference on Applications of Computer Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACV.1994.341320","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 21

摘要

本文描述了(多面体场景)距离图像分割问题的定义、用于评估的数据集、指定基础真值的方法以及根据基础真值对分割结果进行分类的一组度量。>

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A methodology for evaluating range image segmentation techniques

This paper describes a definition of the range image segmentation (of polyhedral scenes) problem, a data set to use in evaluation, a method for specifying ground truth, and a set of metrics to classify segmentation results against ground truths. >

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

IEEE Workshop/Winter Conference on Applications of Computer Vision

自引率

0.00%

发文量