Accurate infrared structured light sensing system for dynamic 3D acquisition

2020 ◽  
Vol 59 (17) ◽  
pp. E80 ◽  
Author(s):  
Yuping Ye ◽  
Hongguang Chang ◽  
Zhan Song ◽  
Juan Zhao
2021 ◽  
Vol 9 (1) ◽  
pp. 15-19
Author(s):  
Yuping Ye ◽  
◽  
Zhan Song ◽  
Juan Zhao

Author(s):  
Ruixiao Li ◽  
Zeuku Ho ◽  
Xiaodong Gu ◽  
Fumio Koyama

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Van Luan Tran ◽  
Huei-Yung Lin

The ability to reliably measure the depth of the object surface is very important in a range of high-value industries. With the development of 3D vision techniques, RGB-D cameras have been widely used to perform the 6D pose estimation of target objects for a robotic manipulator. Many applications require accurate shape measurements of the objects for 3D template matching. In this work, we develop an RGB-D camera based on the structured light technique with gray-code coding. The intrinsic and extrinsic parameters of the camera system are determined by a calibration process. 3D reconstruction of the object surface is based on the ray triangulation principle. We construct an RGB-D sensing system with an industrial camera and a digital light projector. In the experiments, real-world objects are used to test the feasibility of the proposed technique. The evaluation carried out using planar objects has demonstrated the accuracy of our RGB-D depth measurement system.


2012 ◽  
Vol 12 (2) ◽  
pp. 193-202 ◽  
Author(s):  
Byung-Joo Hong ◽  
Chan-Oh Park ◽  
Nam-Seok Seo ◽  
Jun-Dong Cho

Author(s):  
Mizuki Morinaga ◽  
Xiaodong Gu ◽  
Keisuke Shimura ◽  
Akihiro Matsutani ◽  
Fumio Koyama

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