Single camera stereo vision coordinate measurement in parts pose recognization on CMM

2014 ◽  
Author(s):  
Chun-mei Wang ◽  
Feng-shan Huang ◽  
Xue-sha Wang ◽  
Li Chen
Keyword(s):  
Stereo Vision ◽  
Single Camera ◽  
Coordinate Measurement

A New Model of Binocular Stereo Coordinate Measurement System Based on Skew Ray Tracing

2004 ◽  
Vol 126 (1) ◽  
pp. 102-114 ◽  
Author(s):  
Psang Dain Lin ◽  
Te-tan Liao
Keyword(s):  
Ray Tracing ◽  
Stereo Vision ◽  
Vision System ◽  
System Modeling ◽  
Formation Theory ◽  
Coordinate Measurement ◽  
Reading Errors ◽  
Binocular Stereo Vision ◽  
Binocular Stereo ◽  
Tracing Method

Two-CCD binocular stereo vision systems using pinhole model are attracting research interest in many important fields such as 3-D coordinate measurement. However, new system modeling is difficult because of lack of fundamental imaging formation theory. In this paper, in order to measure a 3-D surface, we demonstrate how a binocular stereo vision system can be modeled by the proposed skew ray tracing method to study the geometric relations between the binocular camera images and the 3-D surface. In order to investigate the overall accuracy and resolution of this system, the influence of infinitesimal camera reading errors on measured coordinate errors is determined by sensitivity analysis. Experimental verification demonstrates that the performance of the proposed system is excellent.

Study of Stereo Vision Coordinate Measurement System Based on Optical Probe

2008 ◽  
Vol 28 (11) ◽  
pp. 2181-2186
Author(s):  
徐巧玉 Xu Qiaoyu ◽  
车仁生 Che Rensheng
Keyword(s):  
Stereo Vision ◽  
Measurement System ◽  
Optical Probe ◽  
Coordinate Measurement

Study of Single Camera Stereo Vision Sensor Based on Plane Mirror Imaging

2014 ◽  
Vol 34 (9) ◽  
pp. 0915002 ◽  
Author(s):  
冯晓锋 Feng Xiaofeng ◽  
潘迪夫 Pan Difu
Keyword(s):  
Stereo Vision ◽  
Single Camera ◽  
Plane Mirror ◽  
Vision Sensor

Structure Design of Single Camera Omnidirectional Stereo Vision Sensor

2016 ◽  
Vol 36 (6) ◽  
pp. 0615002
Author(s):  
宋丫 Song Ya ◽  
柴兴华 Chai Xinghua ◽  
周富强 Zhou Fuqiang
Keyword(s):  
Stereo Vision ◽  
Structure Design ◽  
Single Camera ◽  
Vision Sensor ◽  
Omnidirectional Stereo Vision

PRECISE SHAPE MEASUREMENT OF DYNAMIC SURFACE VIA SINGLE CAMERA STEREO

2006 ◽  
Vol 03 (01) ◽  
pp. 53-60
Author(s):  
LUPING AN ◽  
YUNDE JIA ◽  
MINGTAO PEI ◽  
HONGBIN DENG
Keyword(s):  
Stereo Vision ◽  
Stereo Matching ◽  
Vision System ◽  
Least Square ◽  
Shape Measurement ◽  
Single Camera ◽  
Dynamic Surface ◽  
Moving Least Square ◽  
Stereo Vision System ◽  
Precise Shape

In this article, a method of the precise shape measurement of dynamic surfaces via a single camera stereo vision system is presented, a cross-curve pattern is painted on the surface of an object, and the intersections of cross-curves which represent the shape of the object are measured by the stereo vision system. The system with a single camera is modeled as a virtual binocular stereo by strong calibration technique. Binocular epipolar rectification is used to make the stereo matching efficient, and principal curves theory is employed to extract curves in images for stereo matching. Under the framework of RANSAC, the curves are interpolated robustly with cubic spline based on moving-least-square (MLS). Experimental results on both static and dynamic deforming surfaces illustrate the effectiveness of the proposed method.

3D Coordinate Measurement System Using Single Camera and IMU

2011 ◽  
Vol 308-310 ◽  
pp. 351-355
Author(s):  
Syed Ghafoor Shah ◽  
Gui Li Xu ◽  
Wei Ji Ni ◽  
Yong Qiang Ye
Keyword(s):  
Inertial Measurement Unit ◽  
Vision System ◽  
Contact Point ◽  
Measurement Unit ◽  
Single Camera ◽  
Inertial Measurement ◽  
Coordinate Measurement ◽  
Improve Accuracy ◽  
Continuous Scanning ◽  
Feature Calculation

This paper proposes a new method for measuring 3D coordinates of a point using a single camera vision system. The contact point is determined by using 3D force sensors. In addition, the force limiting system has also been incorporated to improve accuracy of the results. 3D point is captured when the touching probe senses the force up to certain limit and subsequently recording of that point is initiated. The points being recorded are then processed for the required feature calculation such as distance between planes, angle, radius etc. The IMU (inertial measurement unit) initially estimates the target plane position which enables the whole system to perform the required task quickly. Hence, this system can be used for continuous scanning of any surface.

Sign in / Sign up

Export Citation Format

Share Document