摘要
针对自由曲面重构建模中存在的问题,对曲面数字化及离散点参数优化技术进行了研究。基于自由曲面的形状特征,提出了一种曲面自适应数字化技术。建立了基于显式的最小二乘重构误差的参数优化模型,运用子空间共轭梯度内部反射牛顿优化技术实现了大规模数据点的参数优化。研究结果表明,自适应数字化技术大大提高了曲面的采样效率;参数优化模型合理且优化算法收敛迅速。
Based on the existing problems in free-form surface reconstruction, surface digitizing and parametric optimization of random points are probed. One adaptive digital scheme based on surface shape characteristics is presented. The parametric optimization model is established on the basis of explicit least square error, and the parameters of digital points are optimized by subspace interior reflective conjugate gradient method. The experimental results indicate that surface sampling efficiency is improved rapidly, and the optimizing algorithm has the characteristic of rapid convergence from the reasonable parametric optimizing model.
出处
《机械工程学报》
EI
CAS
CSCD
北大核心
2002年第11期105-108,共4页
Journal of Mechanical Engineering
基金
国家教育部重点基金资助项目(教技司98121)
