研究目的
To improve the quality of 3D scanning with consideration of speed by presenting a two-stage scanning method including rough scanning and specific scanning.
研究成果
The two-stage scanning method improves both the speed and quality of 3D surface scanning by first quickly obtaining general contour and topography data and then specifically targeting missing regions for repair. The use of a robotic platform enhances scanning stability and reduces errors.
研究不足
The method may still face challenges with very large missing regions or highly complex surfaces where the two-stage approach might not sufficiently cover all missing data.
1:Experimental Design and Method Selection:
The paper presents a two-stage scanning method for 3D surface scanning, combining rough scanning for general point cloud data collection and specific scanning for repairing missing regions.
2:Sample Selection and Data Sources:
The method is applied to unknown objects' surfaces to collect 3D data.
3:List of Experimental Equipment and Materials:
A robotic manipulator (UR5) and a handy 3D scanner (HandyScan300) are used.
4:Experimental Procedures and Operational Workflow:
The process involves rough scanning at a faster speed, determining missing regions using chord length discrete method, and then specific scanning to repair these regions.
5:Data Analysis Methods:
The collected point cloud data is analyzed to determine missing regions and plan specific scanning paths.
独家科研数据包,助您复现前沿成果,加速创新突破
获取完整内容