Research on the Visual Recognition Algorithm for Loading Robot Vision System

2012 ◽  
Vol 271-272 ◽  
pp. 1645-1648
Author(s):  
Yong Tao Yang ◽  
Huai Xing Wen
Keyword(s):  
Approximation Algorithm ◽  
Stereo Vision ◽  
Visual Recognition ◽  
Object Segmentation ◽  
Vision System ◽  
Robot Vision ◽  
Target Object ◽  
Recognition Algorithm ◽  
Binocular Stereo Vision ◽  
Binocular Stereo

In order to study the questions about the recognition of relative position for the operating object and calculation of the object volume in the loading robot binocular stereo vision system. Based on the characteristics of the operating object, proposed the method that use of its vertices only to match the corresponding point of the camera imaging for location identification, also raised the approximation algorithm that firstly, cut up the whole, followed by calculate the volume of the various parts, then carry out the sum of the each segmentation volume. Experiments and analysis showed that the distance of camera and the object greater affect the visual system, less impact on the intensity of light；In the target object segmentation， the number of partition k=11 is better. Both methods produced the small errors for the visual recognition of the system, it can meet actual needs.

Mechanical Robot Vision Image Segmentation Using Chaos-Particle Swarm Optimization Algorithm

2014 ◽  
Vol 574 ◽  
pp. 511-516
Author(s):  
Hai Bo Liu ◽  
Su Yan Zhang ◽  
Yu Mei Wang
Keyword(s):  
Particle Swarm Optimization ◽  
Image Segmentation ◽  
Stereo Vision ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Vision System ◽  
Robot Vision ◽  
Swarm Optimization ◽  
Binocular Stereo Vision ◽  
Binocular Stereo

The image segmentation of a robot binocular stereo vision system is the key issue in imaging processing. In this paper, the method of 2-D maximum entropy threshold image segmentation with chaos-particle swarm optimization algorithm is used to segment the images information collected by a robot vision system, and the algorithm is checked by a real robot binocular stereo vision system. The results show that more space information of an image is sufficiently used by the above method, and the running time is shortened by the algorithm. In addition, the image segmentation effect is better than other conventional methods.

<i>A Binocular Stereo Vision System of Fruits Picking Robots Based on Embedded System </i>

2020 ◽  
Author(s):  
Pengcheng Wang ◽  
Zenghong Ma ◽  
Xiaoqiang Du ◽  
Wenwu Lu ◽  
Wensong Xing ◽  
...  
Keyword(s):  
Embedded System ◽  
Stereo Vision ◽  
Vision System ◽  
Stereo Vision System ◽  
Binocular Stereo Vision ◽  
Binocular Stereo

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.

Binocular stereo vision system design for lunar rover

2007 ◽  
Author(s):  
Jun Chu ◽  
Chunlin Jiao ◽  
Hang Guo ◽  
Xiaoyu Zhang
Keyword(s):  
System Design ◽  
Stereo Vision ◽  
Vision System ◽  
Lunar Rover ◽  
Stereo Vision System ◽  
Binocular Stereo Vision ◽  
Binocular Stereo

The Calibration of Binocular Stereo Vision for the Camera Based on Machine Vision Measurement

2014 ◽  
Vol 701-702 ◽  
pp. 361-366
Author(s):  
Xiao Jing Yang ◽  
Si Qi Wang
Keyword(s):  
Machine Vision ◽  
Camera Calibration ◽  
Stereo Vision ◽  
Vision System ◽  
Calibration Target ◽  
Vision Measurement ◽  
Matlab Program ◽  
Binocular Stereo Vision ◽  
Binocular Stereo ◽  
Left And Right

Camera calibration is the most important stage of machine vision measurement. The principle and method of camera calibration for binocular stereo vision system are introduced and the left and right CCD are respectively calibrated by using the prepared calibration target and the MATLAB program. Then internal and external camera parameters are obtained by the calibration experiments. The experimental results show that the calibration results have high precision.

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