Motion Compensation for Phase-Shift Structured-Light Systems Based on a Total-Variation Framework

Boisvert, Jonathan; Drouin, Marc-Antoine; Dicaire, Louis-Guy; Picard, Michel; Godin, Guy

doi:10.1109/3dv.2017.00080

Cited by 2 publications

(1 citation statement)

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“…Methods have been proposed to solve the motion error problem, by motion compensation [12,13], or reducing the number of projections [7,14,15]. Particularly, the approach to reduce the number of projections is considered to be promising to achieve high accuracy with the small calculation amount.…”

Section: Introductionmentioning

confidence: 99%

Pixelwise Phase Unwrapping Based on Ordered Periods Phase Shift

Tabata

Maruyama

Watanabe

et al. 2019

Sensors

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The existing phase-shift methods are effective in achieving high-speed, high-precision, high-resolution, real-time shape measurement of moving objects; however, a phase-unwrapping method that can handle the motion of target objects in a real environment and is robust against global illumination as well is yet to be established. Accordingly, a robust and highly accurate method for determining the absolute phase, using a minimum of three steps, is proposed in this study. In this proposed method, an order structure that rearranges the projection pattern for each period of the sine wave is introduced, so that solving the phase unwrapping problem comes down to calculating the pattern order. Using simulation experiments, it has been confirmed that the proposed method can be used in high-speed, high-precision, high-resolution, three-dimensional shape measurements even in situations with high-speed moving objects and presence of global illumination. In this study, an experimental measurement system was configured with a high-speed camera and projector, and real-time measurements were performed with a processing time of 1.05 ms and a throughput of 500 fps.

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