A robotic system for autonomous 3-D surface reconstruction of objects
Sezgin Secil, Kaya Turgut, Cansu Soyleyici, Metin Özkan, Osman Parlaktuna, Helin Dutağacı, Mustafa Parlaktuna
- 发表年份
- 2017
- 引用次数
- 5
摘要
This paper presents a robotic system to be utilized for autonomous 3-D surface reconstruction of objects. 3-D object reconstruction is performed by taking surface point cloud of an object from different views. The point cloud is obtained by profile or field range sensors with the limited field of view. Thus, the problem is defined as the determination of next best view for the sensor. In an autonomous 3-D reconstruction system, the sensor positioning is performed by a robot manipulator. We propose the hardware and software architectures for the robotic system that enables autonomous 3-D object reconstruction. The efficiency of the system is shown for a few sample objects.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002