摘要
散乱点云数据的测量是三维物体曲面重建的前提和基础.文中在深入研究三维测量原理的基础上,提出了一种基于格雷码-相移组合编码技术的光栅投影式测量和标定方法,并针对解码过程中由于图像噪声的干扰而可能出现的错误给出了一种码值修正算法.该测量方法综合了格雷码编码简单、测量范围大、抗干扰性强以及相移法分辨率高、适合测量小范围内表面连续的物体等优点.实验结果表明,应用所提出的三维测量系统测得的点云数据清晰,重建模型效果逼真,具有良好的实用性和稳定性.
The measurement of scattered point cloud data is the foundation of surface reconstruction of a 3D object. This paper analyzes the principle of 3D measurement and proposes a novel 3D measurement and calibration method based on the grating projection by adopting the technologies of Gray code and phase shifting. A code-revising algorithm is also developed to deal with the error possibly caused by the image noise during the decoding process. The proposed measurement method possesses the advantages of both Gray code and phase shifting, so it is of simple coding, large measured range, strong jamming resistance, high resolution and good suitability for the object with continuous surface in small range. Experimental results show that the proposed method is of good practicality and stability because it may result in regular scattered point cloud data with high quality.
出处
《华南理工大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2008年第2期94-100,共7页
Journal of South China University of Technology(Natural Science Edition)
基金
国家"863"计划项目(2005AA420240)
江苏省科技攻关项目(BE2005014)
南京市医学科技发展计划项目(ZKX0420)
南京市科技发展计划项目(200504022)
关键词
曲面重建
散乱点云
三维测量
结构光
格雷码
相移
surface reconstruction
scattered point cloud
3D measurement
structured light
Gray code
phase shifting
