摘要
利用三角形格网提出一种新的三维物体表达方法——距离角度图法 ,它将由激光相机获取的深度图像场景数据和物体模型描述成一种易于匹配和识别的表达 .这种表达方法能够描述任意形状的物体 ,通过对参数的控制 ,能做到既可以表达物体的局部特征又可以表达物体的全局特征 。
A novel 3D object representation (Distance Angle Images) is proposed which is based on triangle mesh. The image describes the scene data in range image retrieved by laser camera and object model to be feasible for matching and recognition. Furthermore, this representation can describe free form objects, captures both local features and global features of the objects by controlling its parameters, and it is adaptive to non mean meshes.
出处
《华中理工大学学报》
CSCD
北大核心
2000年第3期65-67,共3页
Journal of Huazhong University of Science and Technology
基金
图像信息处理与智能控制教育部开放研究实验室开放研究基金
关键词
计算机视觉
三维物体表达
物体识别
距离角度图
computer vision
3D object representation
3D object recognition
mesh model
range image
