Multi-camera based full-field 3D displacement measurement using digital image correlation

被引：3
|
作者：
Hu, Tianci [1 ]
Ma, Lei [2 ]
Jiang, Dong [3 ]
Fei, Qingguo [1 ]
机构：
[1] Southeast Univ, Sch Mech Engn, Nanjing 211189, Peoples R China
[2] Shanghai Inst Spacecraft Equipment, Shanghai 200240, Peoples R China
[3] Nanjing Forest Univ, Sch Mech Engn, Nanjing 210037, Peoples R China
来源：
2020 13TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID 2020) | 2020年
关键词：
digital image correlation; full-field measurement; multi-camera; 3D shape; METHODOLOGY;
D O I：
10.1109/ISCID51228.2020.00043
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this work, a multi speckle matching method for full-field 3D measurement using multi-camera is proposed. The rotation matrix and translation matrix of different camera coordinate were calculated using multi speckle matching method. The measurement points of all cameras were converted to a same coordinate system and the 3D shape is construct. The full-field displacement is obtained by subtracting the coordinates before and after translation. The measurement of aluminum plate using multi-camera system is conducted. The results show that the converting error of displacement field is less than 0.1mm.
引用
收藏
页码：164 / 167
页数：4
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