High Precision Calibration of Binocular Vision System Based on Genetic Algorithm

2013 ◽  
Vol 427-429 ◽  
pp. 892-896
Author(s):  
Jun Zhou ◽  
Li Jun Zou ◽  
Jun Chao He ◽  
Xiao Pan He
Keyword(s):  
Genetic Algorithm ◽  
High Precision ◽  
Binocular Vision ◽  
Binary Code ◽  
Vision System ◽  
Target Function ◽  
Optimal Solution ◽  
The Real ◽  
Solution Approach ◽  
Binocular Vision System

This paper presents a high precision calibration method based on genetic algorithm (GA) for binocular vision system, involving the problems of the GA optimization and the camera modeling. For the GA optimization, both the binary-code and the real-code are considered. The binary-code makes the feasible solution approach to the optimal solution rapidly, and then the accuracy of GA is further improved by using the real-code. Furthermore, in order to improve the convergence rate of the algorithm, the parameters of the two cameras are calculated separately, and the target function is selected by the forward mapping relationship between the world coordinates and the image coordinates. The experimental results demonstrate the effectiveness of the proposed approach.

Binocular vision-based 3-D trajectory following for autonomous robotic manipulation

Robotica ◽  
2007 ◽  
Vol 25 (5) ◽  
pp. 615-626 ◽  
Author(s):  
Wen-Chung Chang
Keyword(s):  
Binocular Vision ◽  
Visual Servoing ◽  
Vision System ◽  
A Priori ◽  
Robotic Manipulator ◽  
Robotic Manipulation ◽  
Control Approach ◽  
Trajectory Following ◽  
Image Planes ◽  
Binocular Vision System

SUMMARYRobotic manipulators that have interacted with uncalibrated environments typically have limited positioning and tracking capabilities, if control tasks cannot be appropriately encoded using available features in the environments. Specifically, to perform 3-D trajectory following operations employing binocular vision, it seems necessary to have a priori knowledge on pointwise correspondence information between two image planes. However, such an assumption cannot be made for any smooth 3-D trajectories. This paper describes how one might enhance autonomous robotic manipulation for 3-D trajectory following tasks using eye-to-hand binocular visual servoing. Based on a novel encoded error, an image-based feedback control law is proposed without assuming pointwise binocular correspondence information. The proposed control approach can guarantee task precision by employing only an approximately calibrated binocular vision system. The goal of the autonomous task is to drive a tool mounted on the end-effector of the robotic manipulator to follow a visually determined smooth 3-D target trajectory in desired speed with precision. The proposed control architecture is suitable for applications that require precise 3-D positioning and tracking in unknown environments. Our approach is successfully validated in a real task environment by performing experiments with an industrial robotic manipulator.

scholarly journals Precise calibration of binocular vision system used for vision measurement

2014 ◽  
Vol 22 (8) ◽  
pp. 9134 ◽  
Author(s):  
Yi Cui ◽  
Fuqiang Zhou ◽  
Yexin Wang ◽  
Liu Liu ◽  
He Gao
Keyword(s):  
Binocular Vision ◽  
Vision System ◽  
Vision Measurement ◽  
Binocular Vision System
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