Improving the accuracy of 3D surface reconstruction by controlling height compensation

Gao Xu; Peiji Guo

doi:10.1117/12.2564849

17 April 2020 Improving the accuracy of 3D surface reconstruction by controlling height compensation

Gao Xu, Peiji Guo

Proceedings Volume 11455, Sixth Symposium on Novel Optoelectronic Detection Technology and Applications; 1145549 (2020) https://doi.org/10.1117/12.2564849
Event: Sixth Symposium on Novel Photoelectronic Detection Technology and Application, 2019, Beijing, China

Abstract

The southwell model algorithm based on the least squares method is suitable for a variety of wavefront reconstruction and three-dimensional shape detection through slope fitting. Due to the assumption that the height is linearly related to the gradient in the southwell model, the detailed information of the surface shape needs to be gradually improved by the iterative algorithm. In this paper, we add an attenuation factor in the form of a power function controlled by exponential and iterative times to increase the height compensation amount in the early iteration and control the excessive noise data to participate in the iteration, which leads to the deviation of the fitted surface shape from the actual surface shape. Through simulation comparison experiments, the new algorithm has faster iteration rate and higher accuracy than traditional iterative algorithms.

Citation Download Citation

Gao Xu and Peiji Guo "Improving the accuracy of 3D surface reconstruction by controlling height compensation", Proc. SPIE 11455, Sixth Symposium on Novel Optoelectronic Detection Technology and Applications, 1145549 (17 April 2020); https://doi.org/10.1117/12.2564849

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