Range Image Registration Based on Circular Features
Range Image Registration Based on Circular Features
复制标题
基于圆形特征的距离图像配准
DOI：
10.1109/3dpvt.2006.111
复制
发表时间：
2006
期刊：
影响因子：
--
通讯作者：
I. Stamos
中科院分区：
文献类型：
--
作者：
C. Chen;I. Stamos
距离传感技术允许对大型场景（如城市结构）进行逼真的建模。三维场景采集过程中的一个主要瓶颈是在一个共同的参考框架内自动配准大量几何复杂的三维距离扫描。自动注册后生成的3D表示对城市规划、历史保护或虚拟现实应用程序很有用。人造城市场景提供了丰富的线性特征，可用于解决问题。尽管许多场景需要使用非线性原语。本文提出了一种基于距离数据集的圆形特征鲁棒检测和匹配的配准问题的解决方案。我们展示了从大型地标性城市结构（纽约中央车站）内部进行复杂距离扫描的实验结果，传统方法在这里会失败。这项工作是基于提取的多种几何类型特征的更大范围配准系统的一部分。
Range sensing technology allows the photo-realistic modeling of large-scale scenes, such as urban structures. A major bottleneck in the process of 3D scene acquisition is the automated registration of a large number of geometrically complex 3D range scans in a common frame of reference. The generated 3D representations, after automated registration, are useful for urban planning, historical preservation, or virtual reality applications. Man-made urban scenes provide an abundance of linear features that can be used for the solution of the problem. Many scenes though require the utilization of non-linear primitives. This paper provides a solution of the registration problem based on the robust detection and matching of circular features from the range data sets. We present results from experiments with complex range scans from the interior of a large-scale landmark urban structure (Grand Central Terminal, NYC), where traditional methods would fail. This work is part of a larger range registration system that is based on extracted features of multiple geometric types.