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• W2955761985 abstract "In sinusoidal fringe projection profilometry (FPP), many factors are known to improve measurement accuracy. However, the parameters of the projected fringe pattern, such as modulation and pitch, are the most basic factors. Some empirical principles have been described by researchers, but there is still a lack of theoretical support. In this study, we attempt to address this problem by providing a theoretical proof. We first build an error model for the FPP system. The model reveals how the pitch, modulation, and noise of the fringe pattern affect the measurement error. Combined with optical projection analysis, an optimal projection pitch is delivered that yields the best performance. Both simulations and experiments verify the proposed theoretical proof and optimization method, which will facilitate the construction of FPP systems and help users avoid empiricism and time-consuming experiments." @default.
• W2955761985 created "2019-07-12" @default.
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• W2955761985 date "2019-12-01" @default.
• W2955761985 modified "2023-10-18" @default.
• W2955761985 title "Theoretical proof of parameter optimization for sinusoidal fringe projection profilometry" @default.
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• W2955761985 doi "https://doi.org/10.1016/j.optlaseng.2019.07.001" @default.
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