Automated multiple fish tracking in three-Dimension using a Structured Light Sensor

2016 ◽  
Vol 121 ◽  
pp. 215-221 ◽  
Author(s):  
M.M. Saberioon ◽  
P. Cisar
Keyword(s):  
Structured Light ◽  
Three Dimension ◽  
Light Sensor ◽  
Fish Tracking

Three-Dimension Face Acquisition with Rotating Speckle Structured Light Projection

2021 ◽  
Vol 58 (4) ◽  
pp. 0415019
Author(s):  
周佩 Zhou Pei ◽  
朱江平 Zhu Jiangping ◽  
孔令寅 Kong Lingyin ◽  
熊伟 Xiong Wei
Keyword(s):  
Structured Light ◽  
Three Dimension

New Calibration Method for Line Structured Light Sensor Based on Planar Target

2015 ◽  
Vol 35 (1) ◽  
pp. 0112004 ◽  
Author(s):  
陈天飞 Chen Tianfei ◽  
赵吉宾 Zhao Jibin ◽  
吴翔 Wu Xiang
Keyword(s):  
Structured Light ◽  
Calibration Method ◽  
Light Sensor ◽  
Planar Target

A Method for Measuring Circular Pose Based on Line Structured Light Sensor

2020 ◽  
Vol 40 (15) ◽  
pp. 1512004
Author(s):  
李志宇 Li Zhiyu ◽  
林嘉睿 Lin Jiarui ◽  
孙岩标 Sun Yanbiao ◽  
邾继贵 Zhu Jigui
Keyword(s):  
Structured Light ◽  
Light Sensor ◽  
On Line

A detection method based on line-structured light sensor for geometrical morphology of track slab

2018 ◽  
Vol 11 (10) ◽  
pp. 841-850
Author(s):  
祝 祥 ZHU Xiang ◽  
邵双运 SHAO Shuang-yun ◽  
宋志军 SONG Zhi-jun
Keyword(s):  
Detection Method ◽  
Structured Light ◽  
Light Sensor ◽  
On Line ◽  
Track Slab

scholarly journals Field Geometric Calibration Method for Line Structured Light Sensor Using Single Circular Target

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Tianfei Chen ◽  
Lijun Sun ◽  
Qiuwen Zhang ◽  
Xiang Wu ◽  
Defeng Wu
Keyword(s):  
Structured Light ◽  
Linear Equations ◽  
Calibration Method ◽  
Experimental Result ◽  
Normal Vector ◽  
Geometric Calibration ◽  
Light Plane ◽  
Light Sensor ◽  
Fitting Method ◽  
Circular Target

To achieve fast calibration of line structured light sensor, a geometric calibration approach based on single circular calibration target is proposed. The proposed method uses the circular points to establish linear equations, and according to the angle constraint, the camera intrinsic parameters can be calculated through optimization. Then, the light plane calibration is accomplished in two steps. Firstly, when the vanishing lines of target plane at various postures are obtained, the intersections between vanishing lines and laser stripe can be computed, and the normal vector of light plane can be calibrated via line fitting method using intersection points. After that, the distance from the origin of camera coordinate system to the light plane can be derived based on the model of perspective-three-point. The actual experimental result shows that this calibration method has high accuracy, its average measuring accuracy is 0.0451 mm, and relative error is 0.2314%. In addition, the entire calibration process has no complex operations. It is simple, convenient, and suitable for calibration on sites.

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