Fast data acquisition for three-dimensional shape measurement using fixed-pattern projection and temporal coding

Große, Marcus; Schaffer, Martin; Harendt, Bastian; Kowarschik, R.

doi:10.1117/1.3646100

Cited by 39 publications

(11 citation statements)

References 19 publications

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“…Many researchers have studied the development of such 3D shape measurement systems [1]. Several conventional and individualistic fringe projection methods with phase shifting have also been proposed [2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Real-time and wide-range 3D shape measurement using linear LED fringe projector

Fujigaki

2015

2015 2nd International Conference on Opto-Electronics and Applied Optics (IEM OPTRONIX)

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A compact 3D shape measurement device with high accurate and high-speed was proposed by authors. In this paper, a real-time and wide-range 3D shape measurement using the linear LED fringe projector is shown. This projector can switch two pitches quickly. The principle of an algorithm to obtain the 3D point cloud in real-time and wide-range with a whole-space tabulation method is explained. The experimental results of the wide-range shape measurement are shown.

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Section: Introductionmentioning

confidence: 99%

Real-time and wide-range 3D shape measurement using linear LED fringe projector

Fujigaki

2015

2015 2nd International Conference on Opto-Electronics and Applied Optics (IEM OPTRONIX)

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“…Moreover, as stated by Grosse et.al. 71 , more than 9 images are typically required to establish dense, accurate, and outlier-free correspondences. Thus, the final 3D frame rate achievable is still far lower (almost an order of magnitude) than the native frame rate of the camera and projector, which is typically in the range of only several hundreds Hz (e.g., 330 Hz at a projection frame rate of 3 kHz by using array projection 66 and 1,333 Hz at a camera rate of 12,000 Hz by using GOBO projection 67 ).…”

Section: Introductionmentioning

confidence: 99%

Micro Fourier Transform Profilometry (μFTP): 3D shape measurement at 10,000 frames per second

Zuo

Tao

Feng

et al. 2018

Optics and Lasers in Engineering

224

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Recent advances in imaging sensors and digital light projection technology have facilitated a rapid progress in 3D optical sensing, enabling 3D surfaces of complex-shaped objects to be captured with improved resolution and accuracy. However, due to the large number of projection patterns required for phase recovery and disambiguation, the maximum fame rates of current 3D shape measurement techniques are still limited to the range of hundreds of frames per second (fps). Here, we demonstrate a new 3D dynamic imaging technique, Micro Fourier Transform Profilometry (µFTP), which can capture 3D surfaces of transient events at up to 10,000 fps based on our newly developed high-speed fringe projection system. Compared with existing techniques, µFTP has the prominent advantage of recovering an accurate, unambiguous, and dense 3D point cloud with only two projected patterns. Furthermore, the phase information is encoded within a single high-frequency fringe image, thereby allowing motion-artifact-free reconstruction of transient events with temporal resolution of 50 microseconds. To show µFTP's broad utility, we use it to reconstruct 3D videos of 4 transient scenes: vibrating cantilevers, rotating fan blades, bullet fired from a toy gun, and balloon's explosion triggered by a flying dart, which were previously difficult or even unable to be captured with conventional approaches.

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“…Optical range-based sensors such as stereo vision [1][2][3][4] and scanning light detection and ranging (LIDAR), [5][6][7] have commonly been used in target surface acquiring. Optical range-based sensors such as stereo vision [1][2][3][4] and scanning light detection and ranging (LIDAR), [5][6][7] have commonly been used in target surface acquiring.…”

Section: Introductionmentioning

confidence: 99%

Dense surface reconstruction based on the fusion of monocular vision and three-dimensional flash light detection and ranging

Hao

Zhao

et al. 2015

Opt. Eng

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A dense surface reconstruction approach based on the fusion of monocular vision and three-dimensional (3-D) flash light detection and ranging (LIDAR) is proposed. The texture and geometry information can be obtained simultaneously and quickly for stationary or moving targets with the proposed method. Primarily, our 2-D/3-D fusion imaging system including cameras calibration and an intensity-range image registration algorithm is designed. Subsequently, the adaptive block intensity-range Markov random field (MRF) with optimizing weights is presented to improve the sparse range data from 3-D flash LIDAR. Then the energy function is minimized quickly by conjugate gradient algorithm for each neighborhood system instead of the whole MRF. Finally, the experiments with standard depth datasets and real 2-D/3-D images demonstrate the validity and capability of the proposed scheme.

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Fast data acquisition for three-dimensional shape measurement using fixed-pattern projection and temporal coding

Cited by 39 publications

References 19 publications

Real-time and wide-range 3D shape measurement using linear LED fringe projector

Real-time and wide-range 3D shape measurement using linear LED fringe projector

Micro Fourier Transform Profilometry (μFTP): 3D shape measurement at 10,000 frames per second

Dense surface reconstruction based on the fusion of monocular vision and three-dimensional flash light detection and ranging

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