Combing Structured Light Measurement Technology with Binocular Stereo Vision

2017 ◽  
Author(s):  
Qi Zhou ◽  
YongMing Yang ◽  
ZhenZhou Wang
Keyword(s):  
Stereo Vision ◽  
Structured Light ◽  
Measurement Technology ◽  
Binocular Stereo Vision ◽  
Light Measurement ◽  
Binocular Stereo

A Method of Line Structured Light Vision System Calibration Based on Stereo Vision

2013 ◽  
Vol 397-400 ◽  
pp. 1453-1458 ◽  
Author(s):  
Yu Bao Liu ◽  
Bin Liu ◽  
Jun Yi Lin
Keyword(s):  
Stereo Vision ◽  
Vision System ◽  
Structured Light ◽  
Calibration Method ◽  
Calibration Procedure ◽  
Control Points ◽  
Binocular Stereo Vision ◽  
Projector Calibration ◽  
Binocular Stereo ◽  
Structured Light Vision

It is a difficult task to get enough numbers of highly accurate control points for projector calibration in line structured light vision system. A new projector calibration method based on binocular stereo vision is proposed in this paper. Two cameras calibration can be done usingtraditional camera calibration method and they composed a binocular stereo vision. In projector calibration procedure, a planar template was located at several different positions in front of the stereo vision system. Two cameras captured the stripe images in each position simultaneously. Every center points of the laser stripe can be used as control points of the projector plane. The 3D coordinate of the stripe center points can be obtained through binocular stereo vision principle easily. So the light plane can be calculated quickly. Experiments were carried out and the result shows that the proposed method is flexible and stable.

Distance Measurement Algorithm Based on Binocular Stereo Vision

2014 ◽  
Vol 635-637 ◽  
pp. 948-952 ◽  
Author(s):  
Hui Min Long ◽  
Hai Yan Guo ◽  
Feng Liang ◽  
Gui Hua Liu
Keyword(s):  
Stereo Vision ◽  
Three Dimensional ◽  
Distance Measurement ◽  
Measurement Technology ◽  
Feature Points ◽  
Practical Applications ◽  
Binocular Stereo Vision ◽  
Dense Matching ◽  
Wide Range ◽  
Binocular Stereo

Distance measurement technology of binocular stereo vision has the advantages of wide-range detection, simplicity and reliability. The method is widely applied to robot obstacle avoidance and path planning. Binocular stereo vision can only measure the distance of images feature points generally. However, more information about distance of non-feature points is also needed to acquire in practical applications. This paper proposes a stereo distance measurement method, which can measure distance of points whether it is a feature point or not based on a dense matching method. A dense parallax map is obtained by the graph-cuts algorithm. On the basis of the calibration parameters of binocular camera and the left and right image dense parallax map, the three-dimensional coordinates of the any points and their distance will be gotten. The true image experiment has proved the feasibility of this algorithm with high accuracy and maneuverability.

scholarly journals High-Accuracy Recognition and Localization of Moving Targets in an Indoor Environment Using Binocular Stereo Vision

2021 ◽  
Vol 10 (4) ◽  
pp. 234
Author(s):  
Jing Ding ◽  
Zhigang Yan ◽  
Xuchen We
Keyword(s):  
Stereo Vision ◽  
Stereo Matching ◽  
Three Dimensional ◽  
Target Localization ◽  
Parallel Structure ◽  
Moving Target ◽  
Target Area ◽  
Moving Targets ◽  
Binocular Stereo Vision ◽  
Binocular Stereo

To obtain effective indoor moving target localization, a reliable and stable moving target localization method based on binocular stereo vision is proposed in this paper. A moving target recognition extraction algorithm, which integrates displacement pyramid Horn–Schunck (HS) optical flow, Delaunay triangulation and Otsu threshold segmentation, is presented to separate a moving target from a complex background, called the Otsu Delaunay HS (O-DHS) method. Additionally, a stereo matching algorithm based on deep matching and stereo vision is presented to obtain dense stereo matching points pairs, called stereo deep matching (S-DM). The stereo matching point pairs of the moving target were extracted with the moving target area and stereo deep matching point pairs, then the three dimensional coordinates of the points in the moving target area were reconstructed according to the principle of binocular vision’s parallel structure. Finally, the moving target was located by the centroid method. The experimental results showed that this method can better resist image noise and repeated texture, can effectively detect and separate moving targets, and can match stereo image points in repeated textured areas more accurately and stability. This method can effectively improve the effectiveness, accuracy and robustness of three-dimensional moving target coordinates.

Bubble behavior characteristics based on virtual binocular stereo vision

2018 ◽  
Vol 14 (1) ◽  
pp. 44-47 ◽  
Author(s):  
Ting Xue ◽  
Ling-shuang Xu ◽  
Shang-zhen Zhang
Keyword(s):  
Stereo Vision ◽  
Bubble Behavior ◽  
Binocular Stereo Vision ◽  
Binocular Stereo ◽  
Behavior Characteristics

Binocular Stereo Vision Based Illuminance Measurement Used for Intelligent Lighting with LED

Optik ◽  
2021 ◽  
pp. 166651
Author(s):  
Lianghui Li ◽  
Jiachen Wang ◽  
Shengli Yang ◽  
Hao Gong
Keyword(s):  
Stereo Vision ◽  
Binocular Stereo Vision ◽  
Binocular Stereo

Research on Target Ranging Method Based on Binocular Stereo Vision

2021 ◽  
Author(s):  
Qingsheng Mu ◽  
Jun Wei ◽  
Zhugang Yuan ◽  
Yuheng Yin
Keyword(s):  
Stereo Vision ◽  
Binocular Stereo Vision ◽  
Binocular Stereo ◽  
Target Ranging
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