Improving the Efficiency of Hierarchical Structure-and-Motion

被引：84

作者：

Gherardi, Riccardo ^{[1
]}

Farenzena, Michela ^{[1
]}

Fusiello, Andrea ^{[1
]}

机构：

[1] Univ Verona, Dipartimento Informat, I-37134 Verona, Italy

来源：

2010 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) | 2010年

关键词：

D O I：

10.1109/CVPR.2010.5539782

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 completely automated Structure and Motion pipeline capable of working with uncalibrated images with varying internal parameters and no ancillary information. The system is based on a novel hierarchical scheme which reduces the total complexity by one order of magnitude. We assess the quality of our approach analytically by comparing the recovered point clouds with laser scans, which serves as ground truth data.

引用

页码：1594 / 1600

页数：7