Primitives extraction based on structured-light images
Primitives extraction based on structured-light images
复制标题
基于结构光图像的基元提取
DOI：
--
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
O. Aubreton
中科院分区：
文献类型：
--
作者：
V. Daval;F. Truchetet;O. Aubreton
曲率或表面方向等几何属性是扫描对象后获得的三维点的附加信息。在以顺序结构为特征的经典3D链中，这些信息是从密集的点云(从3D扫描仪)确定的。然后，利用它们来减少信息量，从而得到简化的模型。本文研究了直接从结构光系统的摄像机获取的二维图像中提取某些几何属性的可能性。
Geometric attributes such as curvature or surface orientation are additional information of the 3D points obtained after the scanning of an object. In the classic 3D chain, characterized by a sequential structure, these information are determined from the dense point cloud (from a 3D scanner). Then, they are used to reduce the amount of information and allows to obtain a simplified model. In this paper, we investigate the possibility to extract some geometric attributes, directly from 2D images obtained by the camera of a structured-light system.
DOI：
10.1109/34.888718
发表时间：
2000-11-01
影响因子：
23.6
作者：
Zhang, ZY
通讯作者：
Zhang, ZY