3D shape from unorganized 3D point clouds

被引：0

作者：

Kamberov, G ^{[1
]}

Kamberova, G

Jain, A

机构：

[1] Stevens Inst Technol, Dept Comp Sci, Hoboken, NJ 07030 USA

[2] Hofstra Univ, Dept Comp Sci, Hempstead, NY 11549 USA

来源：

ADVANCES IN VISUAL COMPUTING, PROCEEDINGS | 2005年 / 3804卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present a framework to automatically infer topology and geometry from an unorganized 3D point cloud obtained from a 3D scene. If the cloud is not oriented, we use existing methods to orient it prior to recovering the topology. We develop a quality measure for scoring a chosen topology/orientation. The topology is used to segment the cloud into manifold components and later in the computation of shape descriptors.

引用

页码：621 / +

页数：4

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