Calibration Algorithm for Structured Light 3D Vision Measuring System

2008 ◽  
Author(s):  
Haihua Cui ◽  
Ning Dai ◽  
Tianran Yuan ◽  
Xiaosheng Cheng ◽  
Wenhe Liao
Keyword(s):  
Structured Light ◽  
Measuring System ◽  
3D Vision ◽  
Calibration 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.

Real-Time Projection Mapping Using High-Frame-Rate Structured Light 3D Vision

2015 ◽  
Vol 8 (4) ◽  
pp. 265-272 ◽  
Author(s):  
Jun CHEN ◽  
Takashi YAMAMOTO ◽  
Tadayoshi AOYAMA ◽  
Takeshi TAKAKI ◽  
Idaku ISHII
Keyword(s):  
Real Time ◽  
Structured Light ◽  
Frame Rate ◽  
3D Vision ◽  
Projection Mapping ◽  
High Frame Rate ◽  
Time Projection

Fast 3D vision with robust structured light coding

2009 ◽  
Author(s):  
Chadi Albitar ◽  
Pierre Graebling ◽  
Christophe Doignon
Keyword(s):  
Structured Light ◽  
3D Vision

scholarly journals A Structured Light RGB-D Camera System for Accurate Depth Measurement

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Van Luan Tran ◽  
Huei-Yung Lin
Keyword(s):  
Template Matching ◽  
Structured Light ◽  
Gray Code ◽  
Object Surface ◽  
Camera System ◽  
3D Vision ◽  
Depth Measurement ◽  
Sensing System ◽  
Extrinsic Parameters ◽  
Intrinsic And Extrinsic Parameters

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.

scholarly journals Portable Light Pen 3D Vision Coordinate Measuring System- Probe Tip Center Calibration

2013 ◽  
Vol 13 (4) ◽  
pp. 194-199 ◽  
Author(s):  
Shugui Liu ◽  
Hongling Zhang ◽  
Yinghua Dong ◽  
Shaliang Tang ◽  
Zhenzhu Jiang
Keyword(s):  
Accurate Determination ◽  
Least Square ◽  
Measuring System ◽  
Translation Vector ◽  
3D Vision ◽  
Fitting Method ◽  
Center Position ◽  
Tip Position ◽  
Light Pen

For different tasks, probe tip should be changed in the 3D vision coordinate measuring system and the accurate determination of probe tip center position is critical. A novel and simple approach for calibrating the probe tip center position of the light pen is presented in this paper. Hundreds of images of the light pen with different postures are collected while the probe tip is kept in firm contact with a reference conical hole. The probe tip position is determined by computing the rotation matrix and translation vector from the obtained images by using the least square fitting method. The experimental results demonstrate the effectiveness of the proposed approach. Its repeatability reaches 0.033 mm, 0.030 mm, and 0.043 mm in x, y, and z axes, respectively, and its convergence speed is satisfactory.

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