A Topology-Based Stereo Matching Method for One Shot 3D Measurement Using Coded Spot-Array Structured Light

In this paper, a topology-based stereo matching method for 3D measurement using a single pattern of coded spot-array structured light is proposed. The pattern of spot array is designed with a central reference ring spot, and each spot in the pattern can be uniquely coded with the row and column indexes according to the predefined topological search path. A method using rectangle templates to find the encoded spots in the captured images is proposed in the case where coding spots are missing, and an interpolation method is also proposed for rebuilding the missing spots. Experimental results demonstrate that the proposed technique could exactly and uniquely decode each spot and establish the stereo matching relation successfully, which can be used to obtain three-dimensional (3D) reconstruction with a single-shot method.

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Three-Dimensional Hand Reconstruction by Single-Shot Structured Light Line Pattern

IEEE Access ◽

10.1109/access.2018.2875496 ◽

2018 ◽

Vol 6 ◽

pp. 59881-59890 ◽

Cited By ~ 4

Author(s):

Zhenzhou Wang ◽

Cunshan Zhang

Keyword(s):

Structured Light ◽

Three Dimensional ◽

Single Shot ◽

Line Pattern ◽

Hand Reconstruction ◽

Light Line

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Temperature Compensation Method for Mechanical Base of 3D-Structured Light Scanners

Sensors ◽

10.3390/s20020362 ◽

2020 ◽

Vol 20 (2) ◽

pp. 362 ◽

Cited By ~ 1

Author(s):

Marcin Adamczyk ◽

Paweł Liberadzki ◽

Robert Sitnik

Keyword(s):

Temperature Compensation ◽

Structured Light ◽

Three Dimensional ◽

Compensation Method ◽

Effect Of Temperature ◽

3D Measurement ◽

Significant Deterioration ◽

Complex Issue ◽

Additional Equipment ◽

Thermal Chamber

The effect of temperature on three-dimensional (3D) structured light scanners is a very complex issue that, under some conditions, can lead to significant deterioration of performed measurements. In this paper, we present the results of several studies concerning the effect of temperature on the mechanical base of 3D-structured light scanners. We also propose a software compensation method suitable for implementation in any existing scanner. The most significant advantage of the described method is the fact that it does not require any specialized artifact or any additional equipment, nor access to the thermal chamber. It uses a simulation of mechanical base thermal deformations and a virtual 3D measurement environment that allows for conducting virtual measurements. The results from the verification experiments show that the developed method can extend the range of temperatures in which 3D-structured light scanners can perform valid measurements by more than six-fold.

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A Multi-Gradation Stereo Matching Method Based on Edge Feature Points

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.748.624 ◽

2013 ◽

Vol 748 ◽

pp. 624-628

Author(s):

Zhu Lin Li

Keyword(s):

Object Recognition ◽

Stereo Matching ◽

Three Dimensional ◽

Feature Points ◽

Image Pair ◽

Three Dimensional Reconstruction ◽

Matching Method ◽

Matching Algorithm ◽

Dimensional Reconstruction ◽

Edge Feature

A gradation stereo matching algorithm based on edge feature points was proposed. Its basic idea is: firstly edge feature points of image pair were extracted; then, gradient invariability and singular eigenvalue invariability were analyzed, two-grade stereo matching method was build, foundation matrix was solved further, and three-grade stereo matching algorithm was finished by foundation matrix guidance. The result indicates that the algorithm can improve matching precision, from 58.3% to 73.2%, it is simple and utility, and it is important for object recognition, tracking, and three-dimensional reconstruction.

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Single-Shot Structured Light Sensor for 3D Dense and Dynamic Reconstruction

Sensors ◽

10.3390/s20041094 ◽

2020 ◽

Vol 20 (4) ◽

pp. 1094 ◽

Cited By ~ 4

Author(s):

Feifei Gu ◽

Zhan Song ◽

Zilong Zhao

Keyword(s):

Stereo Matching ◽

Speckle Pattern ◽

Structured Light ◽

Optical Element ◽

Depth Map ◽

Point Clouds ◽

Calibration Method ◽

Acquisition Time ◽

Single Shot ◽

Dynamic Reconstruction

Structured light (SL) has a trade-off between acquisition time and spatial resolution. Temporally coded SL can produce a 3D reconstruction with high density, yet it is not applicable to dynamic reconstruction. On the contrary, spatially coded SL works with a single shot, but it can only achieve sparse reconstruction. This paper aims to achieve accurate 3D dense and dynamic reconstruction at the same time. A speckle-based SL sensor is presented, which consists of two cameras and a diffractive optical element (DOE) projector. The two cameras record images synchronously. First, a speckle pattern was elaborately designed and projected. Second, a high-accuracy calibration method was proposed to calibrate the system; meanwhile, the stereo images were accurately aligned by developing an optimized epipolar rectification algorithm. Then, an improved semi-global matching (SGM) algorithm was proposed to improve the correctness of the stereo matching, through which a high-quality depth map was achieved. Finally, dense point clouds could be recovered from the depth map. The DOE projector was designed with a size of 8 mm × 8 mm. The baseline between stereo cameras was controlled to be below 50 mm. Experimental results validated the effectiveness of the proposed algorithm. Compared with some other single-shot 3D systems, our system displayed a better performance. At close range, such as 0.4 m, our system could achieve submillimeter accuracy.

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Structured Light Field Generated by Two Projectors for High-Speed Three Dimensional Measurement

Journal of Robotics and Mechatronics ◽

10.20965/jrm.2016.p0523 ◽

2016 ◽

Vol 28 (4) ◽

pp. 523-532 ◽

Cited By ~ 2

Author(s):

Akihiro Obara ◽

◽

Xu Yang ◽

Hiromasa Oku ◽

Keyword(s):

High Speed ◽

Light Field ◽

Stereo Matching ◽

Structured Light ◽

Three Dimensional ◽

Depth Estimation ◽

Image Features ◽

Depth Information ◽

Speed Tracking ◽

Three Dimensional Measurement

[abstFig src='/00280004/10.jpg' width='300' text='Concept of SLF generated by two projectors' ] Triangulation is commonly used to restore 3D scenes, but its frame of less than 30 fps due to time-consuming stereo-matching is an obstacle for applications requiring that results be fed back in real time. The structured light field (SLF) our group proposed previously reduced the amount of calculation in 3D restoration, realizing high-speed measurement. Specifically, the SLF estimates depth information by projecting information on distance directly to a target. The SLF synthesized as reported, however, presents difficulty in extracting image features for depth estimation. In this paper, we propose synthesizing the SLF using two projectors with a certain layout. Our proposed SLF’s basic properties are based on an optical model. We evaluated the SLF’s performance using a prototype we developed and applied to the high-speed depth estimation of a target moving randomly at a speed of 1000 Hz. We demonstrate the target’s high-speed tracking based on high-speed depth information feedback.

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Single-shot structured-light-field three-dimensional imaging

Optics Letters ◽

10.1364/ol.393911 ◽

2020 ◽

Vol 45 (12) ◽

pp. 3256

Author(s):

Zewei Cai ◽

Giancarlo Pedrini ◽

Wolfgang Osten ◽

Xiaoli Liu ◽

Xiang Peng

Keyword(s):

Light Field ◽

Structured Light ◽

Three Dimensional ◽

Single Shot ◽

Three Dimensional Imaging

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Image Reconstruction and Analysis of Three-Dimensional Fracture Surfaces Based on the Stereo Matching Method

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.261-263.1593 ◽

2004 ◽

Vol 261-263 ◽

pp. 1593-1598

Author(s):

M. Tanaka ◽

Y. Kimura ◽

A. Kayama ◽

L. Chouanine ◽

Reiko Kato ◽

...

Keyword(s):

Fractal Dimension ◽

Image Reconstruction ◽

Fracture Surface ◽

Fractal Analysis ◽

Stereo Matching ◽

Three Dimensional ◽

Fractal Dimensions ◽

Matching Method ◽

Fracture Surfaces ◽

Box Counting Method

A computer program of the fractal analysis by the box-counting method was developed for the estimation of the fractal dimension of the three-dimensional fracture surface reconstructed by the stereo matching method. The image reconstruction and fractal analysis were then made on the fracture surfaces of materials created by different mechanisms. There was a correlation between the fractal dimension of the three-dimensional fracture surface and the fractal dimensions evaluated by other methods on ceramics and metals. The effects of microstructures on the fractal dimension were also experimentally discussed.

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