当前位置: X-MOL 学术IEEE Trans. Instrum. Meas. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
3-D Measurement Method for Multireflectivity Scenes Based on Nonlinear Fringe Projection Intensity Adjustment
IEEE Transactions on Instrumentation and Measurement ( IF 5.6 ) Pub Date : 2021-07-06 , DOI: 10.1109/tim.2021.3094629
Zheng Sun , Yi Jin , Minghui Duan , Xin Fan , Changan Zhu , Jinjin Zheng

The 3-D measurement methods based on fringe projection intensity adjustment (FPIA) have been widely adopted to measure the multireflectivity scenes. However, the signal-to-noise ratios (SNRs) of the captured fringe patterns in the FPIA-based methods are reduced because of a large range of reflectivity variations (LRRVs). In our research, a reflection model and a crosstalk model are built to analyze the disturbances induced by LRRVs on the SNRs in the captured fringe patterns, and then, a 3-D measurement method based on nonlinear FPIA (NLFPIA) is proposed to alleviate the LRRV-induced disturbances and improve the measurement accuracy. Moreover, to improve the efficiency of the proposed 3-D measurement method, we present a cyclic utilization of fringe patterns (CUFPs) technique to decrease the number of projection patterns. Experimental results show that the proposed NLFPIA-based 3-D measurement method reduces the root-mean-square error (RMSE) in the measurements of the two standard ceramic geometries by 52.9845% and 36.6393% compared with the FPIA-based method.

中文翻译:

基于非线性条纹投影强度调整的多反射场景3D测量方法

基于条纹投影强度调整(FPIA)的3-D测量方法已被广泛用于测量多反射场景。然而,由于反射率变化 (LRRV) 的范围很大,因此在基于 FPIA 的方法中捕获的条纹图案的信噪比 (SNR) 会降低。在我们的研究中,我们建立了反射模型和串扰模型来分析 LRRV 对捕获的条纹图案中的 SNR 引起的干扰,然后提出了一种基于非线性 FPIA (NLFPIA) 的 3-D 测量方法来缓解这种干扰。 LRRV 引起的干扰并提高测量精度。此外,为了提高所提出的 3-D 测量方法的效率,我们提出了条纹图案 (CUFP) 技术的循环利用,以减少投影图案的数量。
更新日期:2021-07-27
down
wechat
bug