PLANAR 3D MODELING OF BUILDING INTERIORS FROM POINT CLOUD DATA

被引：0

作者：

Sanchez, Victor ^{[1
]}

Zakhor, Avideh ^{[1
]}

机构：

[1] Univ Calif Berkeley, Dept EECS, Video & Image Proc Lab, Berkeley, CA 94720 USA

来源：

2012 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2012) | 2012年

关键词：

3D indoor modeling; point cloud; RANSAC; PCA;

D O I：

暂无

中图分类号：

TB8 [摄影技术];

学科分类号：

0804 ;

摘要：

We present an automatic system for planar 3D modeling of building interiors from point cloud data generated by range scanners. This is motivated by the observation that most building interiors may be modeled as a collection of planes representing ceilings, floors, walls and staircases. Our proposed system, which employs model-fitting and RANSAC, is capable of detecting large-scale architectural structures, such as ceilings and floors, as well as small-scale architectural structures, such as staircases. We experimentally validate our system on a number of challenging point clouds of real architectural scenes.

引用

页码：1777 / 1780

页数：4

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