VPL: A View Planning Library for Automated 3D Reconstruction

被引:1
作者
Irving Vasquez-Gomez, J. [1 ]
机构
[1] Inst Politecn Nacl IPN, Consejo Nacl Ciencia & Tecnol CONACYT, Ctr Innovac & Desarrollo Tecnol Comp, Ciudad De Mexico, Mexico
来源
2020 INTERNATIONAL CONFERENCE ON MECHATRONICS, ELECTRONICS AND AUTOMOTIVE ENGINEERING (ICMEAE 2020) | 2020年
关键词
VISION;
D O I
10.1109/ICMEAE51770.2020.00010
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
During the last decade, automated three-dimensional (3D) object reconstruction and inspection have become widely used in the same way that 3D sensors and positioning systems have become affordable. For example, nowadays drones or underwater vehicles are capable of building 3D models of complex structures. To achieve an autonomous reconstruction it is essential to determine each pose of the sensor, from where an observation is made. In the literature, this task is called view planning. To develop a custom application or propose a new view planning algorithm requires several software tools that are usually reimplemented each time; this causes an effort duplication and is one of the reasons why view planning research papers usually do not present comparisons. We present VPL, a software framework to develop view planning algorithms and compare their performance versus other approaches. The library is written in C++ and it is released under open source BSD license.
引用
收藏
页码:13 / 19
页数:7
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