Single-shot dense depth sensing with frequency-division multiplexing fringe projection

Yang, Lili; Li, Fu; Xiong, Zhiwei; Shi, Guangming; Niu, Yi; Li, Ruodai

doi:10.1016/j.jvcir.2017.03.018

Cited by 10 publications

(3 citation statements)

References 33 publications

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“…Thus, the measurement targets are limited. Furthermore, there are single-shot type of spatial methods for the fringe pattern [24,25]. Although these are not proposed for the phase-shift method, it could be applied to the phase-shift method.…”

Section: Related Methodsmentioning

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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Section: Related Methodsmentioning

confidence: 99%

Pixelwise Phase Unwrapping Based on Ordered Periods Phase Shift

Tabata

Maruyama

Watanabe

et al. 2019

Sensors

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show abstract

“…However, the phase-shift of the signal spreading in the domain is potentially large, creating phase wrapping effects. A solution proposed by [47] is to extract the wrapped phase in image processing with Gabor filter. However, in EIT, the discretisation from the electrodes creates large phase discontinuities and the Gabor filtering cannot be used.…”

Section: Output Data Formatmentioning

confidence: 99%

High Speed EIT With Multifrequency Excitation Using FPGA and Response Analysis Using FDM

Darnajou

Dupré²,

Dang

et al. 2020

IEEE Sensors J.

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The investigation of quickly-evolving flow patterns in high-pressure and high-temperature flow rigs is crucial due to inherent hazards. There is a dire need for a high-speed, non-intrusive imaging technique to identify characteristic flow phenomena to alleviate these hazards. Electrical Impedance Tomography (EIT) enables reconstruction of the admittivity distribution of the flowing medium(s), facilitating the characterisation of its/their flow. The requirement for images at high frame-rates led to simultaneous voltage excitations over electrodes on the periphery of the flow associated to Frequency Division Multiplexing (FDM), doped ONe Excitation for Simultaneous High-speed Operation Tomography (ONE-SHOT) method. In previous studies, we have demonstrated the possibility of the full implementation of simultaneous excitations and measurements strategies for EIT, which maximise the number of measurements for 16 electrodes. This article presents the details of the proposed method and the signal generation/acquisitionfirmware based on a Field Programmable Gate Array (FPGA) data acquisition system focusing on hardware and software integration and the signal processing involved in realising the ONE-SHOT operation of the EIT. It is shown that the simultaneously generated signals are successfully discriminated and used for image reconstruction, at a rate up to 3906 frames per second (fps). The associated signal-to-noise ratio varies in the 55.6 dB-69.1 dB range, depending on the generated frequency in the range of 3.906 kHz-468.7 kHz.

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“…Spatial encoding methods can be used to measure moving and static objects [2,3] , but spatial encoding methods are usually of lower resolution because projected primitives occupy more pixels [4,5] . Furthermore, temporal encoding methods are not suitable for depth perception of moving objects [6,7] .…”

Section: Introducesmentioning

confidence: 99%