摘要
近年来 ,光学技术在测量领域的应用使测量获得的数据呈十几倍甚至几十倍地增长 ,造成了数据处理的困难。针对光栅投影非接触测量方法获得的海量数据 ,提出一种基于曲面变分的自适应采样方法以减少测量获得的数据量 ,并给出了采样的精度计算方法。根据测量对象的曲面变分进行自适应采样 ,获得测量点云 ,并根据自适应采样数据重构 CAD模型。采样精度可以达到 2 .3μm,拟合精度小于 7.2 μm。
At present, the application of optical measurement technique makes the measurement data increase tens of times. This can create the difficulty of reconstruction of CAD model. A new adoptive sampling method based on surface variation is proposed in order to reduce mass data acquired by fringe projection measurement.And the computation method of precision sampling is given. Depending on the surface variation,the adaptive sampling point cloud of object is acquired; the CAD model is reconstructed by the sampling point cloud. The sampling precision and the fitting precision reach 2.3μm and 7.2μm respectively.
出处
《应用光学》
CAS
CSCD
2004年第2期58-61,共4页
Journal of Applied Optics
基金
博士点基金号 (2 0 0 0 0 2 4 838)
关键词
自适应采样
曲面变分
重构
曲面误差
采样间隔
adaptive sampling
curved surface variation
reconstruction
curved surface error
sampling interval
