欢迎来到天天文库
浏览记录
ID:33881204
大小:3.45 MB
页数:71页
时间:2019-03-01
《基于gpu的双目视觉运动目标检测跟踪算法分析》由会员上传分享,免费在线阅读,更多相关内容在行业资料-天天文库。
1、哈尔滨工业大学工学硕士学位论文Finally,binocularvisionplatformwasbuilttoconductexperimentsontheprojectalgorithm.Experimentanalysiswascarriedoutonthealgorithmperformanceundertheconditionofdifferentscenarios;thefeasibilityofthealgorithmwasvalidated.Theexperimentalresultsshowedthatthealgorithmc
2、ouldaccuratelydetectandtrackmovingobjectsandrealizethree-dimensionalpositioninginashortdistance;itspositioningaccuracycouldsatisfyacertainperformanceindexandachievedthedesiredeffectoftheexperiment.Keywords:targetdetection,targettracking,binocularvision,SIFT,GPU-III-哈尔滨工业大学工学硕
3、士学位论文目录摘要...............................................................................................................................IAbstract.............................................................................................................................II第1章绪
4、论....................................................................................................................11.1课题背景及来源...........................................................................................11.2课题相关领域研究现状...........................................
5、....................................21.2.1目标检测跟踪技术研究现状.................................................................21.2.2双目视觉研究现状................................................................................41.2.3GPU研究现状..................................................
6、......................................61.3主要研究内容...............................................................................................9第2章基于双目视觉的运动目标检测......................................................................102.1引言.......................................
7、.....................................................................102.2基于双目视觉的运动目标检测方法设计..................................................102.2.1双目视觉几何学原理..........................................................................102.2.2目标检测方案................................
8、......................................................112.3基于区域增长的改进
此文档下载收益归作者所有