反演(地质)
计算机科学
点云
算法
计算
基质(化学分析)
基本矩阵
三角测量
状态转移矩阵
计算机视觉
数学
几何学
对称矩阵
物理
地质学
材料科学
古生物学
特征向量
构造盆地
量子力学
复合材料
作者
Chenbo Zhang,Mingde Zhang,Chen Chen
标识
DOI:10.1088/1361-6501/acefe9
摘要
Abstract The matrix inversion used to derive the 3D point cloud from the phase is a key factor that limits the reconstruction speed improvement in 3D imaging technique based on phase-shift fringe analysis. To avoid computing matrix inversion, we generate two offline loadable matrices determined solely by the calibration parameters of the triangulation model. Compared with the original method that requires matrix inversion, online computation was accelerated by about 15 times without incurring additional memory overhead. Experimental results demonstrated that the proposed method significantly improves the speed of 3D shape measurement and ensures high accuracy.
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