Objective To realize accurate localization of moving vehicles from single monocular intens ity image. Methods The new modified Hausdorff distance(M2HD) was adopted, which used dominant points instead of edge maps a...Objective To realize accurate localization of moving vehicles from single monocular intens ity image. Methods The new modified Hausdorff distance(M2HD) was adopted, which used dominant points instead of edge maps as features for mea suring similarity between image and model projection. Modified simulated anneali ng (MSA) algorithm was used to find optimum localization parameters. Res ults M2HD reduces the computational complexity, and improves the matc hing precision. Furthermore, MSA can fast find global optimum instead of getting into partial one because of its high parallel and robust performance. C onclusion Experiments confirm that the combination of MSA and M 2H D can effectively localize the vehicles that are changed both in translation and rotation展开更多
On February 18th Sinopec Tianjin Petro-chemical Company announced its newly constructed 60 000 t/a sulfur recovery fa-cility comes on stream and produces quali- fied sulfur.The sulfur facility is constructed for the r...On February 18th Sinopec Tianjin Petro-chemical Company announced its newly constructed 60 000 t/a sulfur recovery fa-cility comes on stream and produces quali- fied sulfur.The sulfur facility is constructed for the refining unit that will be展开更多
核心技能培养在职业教育中具有很重要的地位，各国对核心能力的界定及培养上都有各自的特色。本文试图探究美国职业教育中核心能力的培养，经查阅美国劳工部的网站，选择了Madison Area Technical College（MATC）为例，利用文献法和个...核心技能培养在职业教育中具有很重要的地位，各国对核心能力的界定及培养上都有各自的特色。本文试图探究美国职业教育中核心能力的培养，经查阅美国劳工部的网站，选择了Madison Area Technical College（MATC）为例，利用文献法和个案分析法具体描述核心技能的进程。展开更多
文摘Objective To realize accurate localization of moving vehicles from single monocular intens ity image. Methods The new modified Hausdorff distance(M2HD) was adopted, which used dominant points instead of edge maps as features for mea suring similarity between image and model projection. Modified simulated anneali ng (MSA) algorithm was used to find optimum localization parameters. Res ults M2HD reduces the computational complexity, and improves the matc hing precision. Furthermore, MSA can fast find global optimum instead of getting into partial one because of its high parallel and robust performance. C onclusion Experiments confirm that the combination of MSA and M 2H D can effectively localize the vehicles that are changed both in translation and rotation
文摘On February 18th Sinopec Tianjin Petro-chemical Company announced its newly constructed 60 000 t/a sulfur recovery fa-cility comes on stream and produces quali- fied sulfur.The sulfur facility is constructed for the refining unit that will be
