2021
DOI: 10.1017/s1431927621000106
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Depth Hypotheses Fusion through 3D Weighted Least Squares in Shape from Focus

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“…A small sampling step size increases the number of images in the SFF, resulting in increased computation time and memory usage, whereas a large step size decreases the measurement accuracy [ 27 ]. Simulated geometries with manual noises are used to quantitatively assess the performance of the SFF and select the suitable combination of the focus measure operator, window size and sampling step size [ 28 , 29 , 30 ].However, it is difficult to mimic the complex and real measurement environment using simulated geometries. Therefore, a proper criterion for selection of the focus measure operator with the optimized window size and sampling step size is necessary.…”
Section: Introductionmentioning
confidence: 99%
“…A small sampling step size increases the number of images in the SFF, resulting in increased computation time and memory usage, whereas a large step size decreases the measurement accuracy [ 27 ]. Simulated geometries with manual noises are used to quantitatively assess the performance of the SFF and select the suitable combination of the focus measure operator, window size and sampling step size [ 28 , 29 , 30 ].However, it is difficult to mimic the complex and real measurement environment using simulated geometries. Therefore, a proper criterion for selection of the focus measure operator with the optimized window size and sampling step size is necessary.…”
Section: Introductionmentioning
confidence: 99%