摘要
文章以汽车为对象研究三维物体的识别技术。首先利用特征提取结合判决树分类的方法对汽车分类,快速得到粗分类结果,再利用3D模板树匹配,进一步区分特殊车型,达到时间和精度的要求。该技术经实地试验,车型识别精度达95%以上。
This paper deals with the techniques of 3-D object recognition by taking the vehicles as an example. First the automobiles are classified by combining feature recognition with detection tree and a rough result is obtained. Then the special patterns of the vehicles are further distinguished to meet the requirements of time and accuracy. After on the spot test, the accuracy can reach to 95%.
出处
《交通与计算机》
1998年第1期5-13,73,共10页
Computer and Communications
关键词
特征模板树
汽车
车型识别
收费管理
公路运输
D object recognition
feature nodel tree
pathern recognition of vehicles
survey of mation edge