Enhancing reconstruction precision of zonal methods under low sampling density in non-uniform meshes

Chen Chao; Ma Tao; Wang Fan

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Enhancing reconstruction precision of zonal methods under low sampling density in non-uniform meshes

机译：在非均匀网格中的低采样密度下提高Zonal方法的重建精度

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The fringe reflection method is widely used to determine the three-dimensional shape of mirror objects. The three-dimensional shape is produced by integrating local gradient data. Notably, the loss of middle- or high-frequency information often leads to the appearance of error in surface reconstruction. It is necessary to make full use of gradient data if we want to reconstruct the surface accurately. After reconstruction under low sampling density by existing algorithms, some high-frequency information will inevitably be lost. Considering the unequally spaced or non-uniform sampling, this paper proposes a new algorithm based on zonal methods that are applicable to non-uniform meshes. The key to obtaining improvement in precision is that our algorithm introduces surface compensation. On the basis of simulation results, we conclude that the proposed algorithm has stronger applicability and higher reconstruction precision under low sampling density. (C) 2019 Optical Society of America

机译：边缘反射方法广泛用于确定镜像的三维形状。通过集成局部梯度数据来产生三维形状。值得注意的是，中间或高频信息的损失经常导致表面重建中出错的外观。如果我们希望准确地重建表面，则必须充分利用梯度数据。在通过现有算法下的低采样密度重建之后，一些高频信息将不可避免地丢失。考虑到不平等间隔或不均匀的采样，本文提出了一种基于适用于非均匀网格的区域方法的新算法。获得精确度提高的关键是我们的算法引入了表面补偿。在仿真结果的基础上，我们得出结论，该算法在低采样密度下具有更强的适用性和更高的重建精度。（c）2019年光学学会

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《Applied optics》 |2019年第18期|共5页
作者
Chen Chao; Ma Tao; Wang Fan;
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Soochow Univ Sch Optoelect Sci &

Engn Suzhou 215006 Peoples R China;

Soochow Univ Key Lab Adv Opt Mfg Technol Jiangsu Prov Educ Minist China Suzhou 215006 Peoples R China;

Soochow Univ Sch Optoelect Sci &

Engn Suzhou 215006 Peoples R China;

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Enhancing reconstruction precision of zonal methods under low sampling density in non-uniform meshes

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