scholarly journals 3D Snow Sculpture Reconstruction Based on Structured-Light 3D Vision Measurement

2021 ◽  
Vol 11 (8) ◽  
pp. 3324
Author(s):  
Wancun Liu ◽  
Liguo Zhang ◽  
Xiaolin Zhang ◽  
Lianfu Han
Keyword(s):  
Video Sequence ◽  
Structured Light ◽  
3D Measurement ◽  
Minimum Entropy ◽  
Tree Model ◽  
Measuring Systems ◽  
3D Vision ◽  
Vision Measurement ◽  
In The Wild ◽  
Noise Classification

Structured-light technique is an effective method for indoor 3D measurement, but it is hard to obtain ideal results outdoors because of complex illumination interference on sensors. This paper presents a 3D vision measurement method based on digital image processing to improve resistance to noise of measuring systems, which ensuresnormal operation of a structured-light sensor in the wild without changing its components, and the method is applied in 3D reconstruction of snow sculpture. During image preprocessing, an optimal weight function is designed based on noise classification and minimum entropy, and the color images are transformed into monochromatic value images to eliminate most environmental noise. Then a Decision Tree Model (DTM) in a spatial-temporal context of video sequence is used to extract and track stripe. The model is insensitive to stubborn noise and reflection in the images, and the result of the model after coordinate transformation is a 3D point cloud of the corresponding snow sculpture. In experimental results, the root mean square (RMS) error and mean error are less than 0.722 mm and 0.574 mm respectively, showing that the method can realize real-time, robust and accurate measurement under a complex illumination environment, and can therefore provide technical support for snow sculpture 3D measurement.

3-Step-Calibration of 3D Vision Measurement System Based-on Structured Light

2014 ◽  
Vol 8 (3) ◽  
pp. 484-489 ◽  
Author(s):  
Rui-Yin Tang ◽  
◽  
Zhou-Mo Zeng ◽  
Chang-Ku Sun ◽  
Peng Wang ◽  
...  
Keyword(s):  
Measurement System ◽  
Measurement Accuracy ◽  
Structured Light ◽  
Hard Disk ◽  
Disk Surface ◽  
Measurement Model ◽  
3D Vision ◽  
Vision Measurement ◽  
Light Measurement ◽  
Key Steps

In structured light 3D vision measurement system, calibration tasks are key steps. Aiming at a special application of line structured light measurement, namely computer hard-disk surface planeness measurement at a precision equipment manufacturing company in Singapore, and combining with the structured light measurement model, determined three calibration tasks of the system. The three calibrating tasks concluded: calibrating the camera parameters; calibrating the light plane pose and calibrating the movement pose. At the same time, according to the three calibration results, measured the computer hard disk, and reconstructed the 3D model of the computer hard disk. The experimental results show that, the whole system of three calibration process is simple and reliable, the method does not need any auxiliary adjustment and realize the measurement accuracy about 0.023 mm. The work laid the better foundation for hard disk planeness vision measurement.

scholarly journals 3D Wide FOV Scanning Measurement System Based on Multiline Structured-Light Sensors

2014 ◽  
Vol 6 ◽  
pp. 758679 ◽  
Author(s):  
He Gao ◽  
Fuqiang Zhou ◽  
Bin Peng ◽  
Yexin Wang ◽  
Haishu Tan
Keyword(s):  
Measurement System ◽  
High Efficiency ◽  
Structured Light ◽  
Ccd Camera ◽  
Measurement Range ◽  
Object Surface ◽  
3D Vision ◽  
Vision Measurement ◽  
Measurement Area ◽  
Wide Fov

Structured-light three-dimensional (3D) vision measurement is currently one of the most common approaches to obtain 3D surface data. However, the existing structured-light scanning measurement systems are primarily constructed on the basis of single sensor, which inevitably generates three obvious problems: limited measurement range, blind measurement area, and low scanning efficiency. To solve these problems, we developed a novel 3D wide FOV scanning measurement system which adopted two multiline structured-light sensors. Each sensor is composed of a digital CCD camera and three line-structured-light projectors. During the measurement process, the measured object is scanned by the two sensors from two different angles at a certain speed. Consequently, the measurement range is expanded and the blind measurement area is reduced. More importantly, since six light stripes are simultaneously projected on the object surface, the scanning efficiency is greatly improved. The Multiline Structured-light Sensors Scanning Measurement System (MSSS) is calibrated on site by a 2D pattern. The experimental results show that the RMS errors of the system for calibration and measurement are less than 0.092 mm and 0.168 mm, respectively, which proves that the MSSS is applicable for obtaining 3D object surface with high efficiency and accuracy.

A Structured-Light-Based On-Line 3D Measurement System and Software Development

2005 ◽  
Vol 295-296 ◽  
pp. 399-404
Author(s):  
X.Y. Yu ◽  
F.B. Zhang ◽  
H.J. Yuan ◽  
Z.G. Lang
Keyword(s):  
Measurement System ◽  
High Speed ◽  
Structured Light ◽  
Measuring System ◽  
Depth Image ◽  
Measuring Error ◽  
3D Measurement ◽  
Vision Measurement ◽  
On Line ◽  
3D Measurement System

The objective of this work is to develop a 3D measuring system for on-line 3D measurement in industry locale. Our system is based on the depth image using a structured-light method. A generator emitting a single stripe light and a camera are used to establish a 3D vision measurement system which is also called as a subsystem. But it only can obtain the depth image of a part at the measured object section. Our system is made up of four subsystems placed symmetrically in space. The depth images obtained by the subsystems are joined to form the depth image of a full section. If the object is uniformly shafted along a fixed beeline direction, the depth image of the full object surface is achieved. The indefiniteness in the image combination criterion can be removed when using the depth image. This paper introduces the system principle and the mathematical model. The algorithm is proposed with system parameters. A prototype is developed. The system has the range of 100mm in height x 100mm in width. The length is not limited. The measuring error is less than 0.5mm in height and width and less than 0.01mm in length. The characteristics make the system suitable for on-line 3D shape measurement and non-contact measurement with high speed.

A Novel Algorithm for Computing the Plane of Line Structured Light in 3D Vision Measurement

2012 ◽  
Vol 41 (2) ◽  
pp. 179-184
Author(s):  
刘宁 LIU Ning ◽  
卢荣胜 LU Rong-sheng ◽  
夏瑞雪 XIA Rui-xue ◽  
李琪 LI Qi
Keyword(s):  
Structured Light ◽  
3D Vision ◽  
Vision Measurement ◽  
Novel Algorithm

Real-Time Sensing of Sag Geometry During GTA Welding

1997 ◽  
Vol 119 (2) ◽  
pp. 151-160 ◽  
Author(s):  
Y. M. Zhang ◽  
R. Kovacevic
Keyword(s):  
Real Time ◽  
Vision System ◽  
Structured Light ◽  
Gta Welding ◽  
Seam Tracking ◽  
Image Processing Algorithm ◽  
3D Vision ◽  
Full Penetration ◽  
Laser Stripe ◽  
Penetration Control

Seam tracking and weld penetration control are two fundamental issues in automated welding. Although the seam tracking technique has matured, the latter still remains a unique unsolved problem. It was found that the full penetration status during GTA welding can be determined with sufficient accuracy using the sag depression. To achieve a new full penetration sensing technique, a structured-light 3D vision system is developed to extract the sag geometry behind the pool. The laser stripe, which is the intersection of the structured-light and weldment, is thinned and then used to acquire the sag geometry. To reduce possible control delay, a small distance is selected between the pool rear and laser stripe. An adaptive dynamic search for rapid thinning of the stripe and the maximum principle of slope difference for unbiased recognition of sag border were proposed to develop an effective real-time image processing algorithm for sag geometry acquisition. Experiments have shown that the proposed sensor and image algorithm can provide reliable feedback information of sag geometry for the full penetration control system.

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