The Research of Binocular Ranging System on Independent Mobile Robot

2012 ◽  
Vol 462 ◽  
pp. 603-608
Author(s):  
Yong Gang Xie ◽  
Zhong Min Wang ◽  
Shi Tao Su
Keyword(s):  
Image Processing ◽  
Template Matching ◽  
Time Complexity ◽  
Vision System ◽  
Robot Vision ◽  
Feature Points ◽  
Effective Distance ◽  
Robustness To Noise ◽  
Characteristic Area ◽  
Binocular Measurement

Timeliness and accuracy is a key to be resolved on robot binocular measurement. In this paper, a kind of robot vision projection has been completely established. It analyzes the principle of binocular ranging in three aspects, makes the calculation concise and easy to understand, and expands the range of effective distance. On binocular image processing, we have proposed a gray-scale computing for, firstly, generating characteristic area, then, executing template matching in the area, finally, extracting feature points and matching them in the templates. It ensures certain robustness to noise spots and tries its best to avoid mismatches. The experiments show that the robot vision system has a better accuracy and a low time complexity, and the robot can react in real time.

scholarly journals 3D Robot Vision System through 2D Shape Based Matching Using Gaussian Smoothing for Gluing Application

2018 ◽  
Vol 7 (4.33) ◽  
pp. 487
Author(s):  
Mohamad Haniff Harun ◽  
Mohd Shahrieel Mohd Aras ◽  
Mohd Firdaus Mohd Ab Halim ◽  
Khalil Azha Mohd Annuar ◽  
Arman Hadi Azahar ◽  
...  
Keyword(s):  
Template Matching ◽  
Shape Matching ◽  
Vision System ◽  
Recognition Rate ◽  
Three Dimensional ◽  
Robot Vision ◽  
Region Of Interest ◽  
Gaussian Smoothing ◽  
Detection Approach ◽  
Vision Algorithm

This investigation is solely on the adaptation of a vision system algorithm to classify the processes to regulate the decision making related to the tasks and defect’s recognition. These idea stresses on the new method on vision algorithm which is focusing on the shape matching properties to classify defects occur on the product. The problem faced before that the system required to process broad data acquired from the object caused the time and efficiency slightly decrease. The propose defect detection approach combine with Region of Interest, Gaussian smoothing, Correlation and Template Matching are introduced. This application provides high computational savings and results in better recognition rate about 95.14%. The defects occur provides with information of the height which corresponds by the z-coordinate, length which corresponds by the y-coordinate and width which corresponds by the x-coordinate. This data gathered from the proposed system using dual camera for executing the three dimensional transformation.  

Robot vision implementation by high-speed image processor TOSPIX: Battery inspection

Robotica ◽  
1983 ◽  
Vol 1 (4) ◽  
pp. 223-230 ◽  
Author(s):  
Yoshinori Kuno ◽  
Hideo Numagami ◽  
Minoru Ishikawa ◽  
Hiroshi Hoshino ◽  
Yasushi Nakamura ◽  
...  
Keyword(s):  
Image Processing ◽  
High Speed ◽  
Vision System ◽  
Low Cost ◽  
Rear Surface ◽  
Robot Vision ◽  
Label Pattern ◽  
Gray Scale ◽  
Position Determination ◽  
Gray Scale Image

SUMMARYThis paper presents an intelligent robot vision system using TOSPIX which has been newly developed to realize frequently-used and time-consuming image processing functions at low-cost and high-speed. The vision system has been studied for use in observing surface information about electric parts (dry batteries), inspecting them and then placing good ones into a given box. Three major robot vision functions are implemented here: object recognition, inspection and position determination by binary and gray-scale image processing techniques. While binary image techniques are used in battery terminal inspection and box position determination gray-scale image processing functions are performed in a label pattern check on a battery surface, front or rear surface determination, and surface defect inspection.

DATA MANIPULATION ON THE DISTRIBUTED MEMORY BUS COMPUTER

1995 ◽  
Vol 05 (01) ◽  
pp. 3-14 ◽  
Author(s):  
SARTAJ SAHNI
Keyword(s):  
Image Processing ◽  
Template Matching ◽  
Time Complexity ◽  
Distributed Memory ◽  
Random Access ◽  
Data Manipulation ◽  
Data Accumulation ◽  
Shift Data

We consider fundamental data manipulation operations such as broadcasting, prefix sum, data sum, data shift, data accumulation, consecutive sum, adjacent sum, sorting, and random access reads and writes, and show how these may be performed on the distributed memory bus computer (DMBC). In addition, we study two image processing applications: shrinking and expanding, and template matching. The DMBC algorithms are generally simpler than corresponding algorithms of the same time complexity developed for other reconfigurable bus computers.

Binocular Robot Vision with Active Viewpoint for Sphere Measurement

2012 ◽  
Vol 516 ◽  
pp. 343-348
Author(s):  
Yoshito Yabuta ◽  
Hiroshi Mizumoto ◽  
Shiro Arii
Keyword(s):  
Smooth Surface ◽  
Vision System ◽  
Contact Point ◽  
Robot Vision ◽  
Feature Point ◽  
Feature Points ◽  
Spatial Coordinates ◽  
The Right

A binocular robot vision system reconstructs 3D scenes from right and left images by using triangulation. However when using triangulation, the corresponding problems have to be resolved. To resolve the corresponding problems easily, authors have proposed a binocular robot vision system with an autonomously moving active viewpoint. By using this active viewpoint, the system constructs the correspondence between images of feature points of an object on the right and left images and calculates the spatial coordinates of the feature points. However the system cannot achieve correspondence between right and left images for smooth surface without feature points like corners. In this paper, we propose a method to extract feature points on a smooth surface virtually. To extract the feature points on the smooth surface of an object virtually, we use an active viewpoint of our system and vergence motion of the right and left cameras. In this system, the right and left cameras viewpoints are corresponded mechanically by the active viewpoint and vergence motion of both cameras. As the virtual feature point, a contact point between the smooth surface and tangential line from the epipole on the baseline of right and left cameras is extracted from the camera images. Because the right and left cameras viewpoints are fixed by the active viewpoint, the active viewpoint becomes the constraint for the extraction of the virtual feature points. The information of the virtual feature points on the smooth surface of an object is used for the calculation of the spatial coordinates of the object. The effect of the proposed method to extract the feature points virtually is shown experimentally by using a sphere as an object.

Modern Technology for Image processing and Computer vision -A Review

2018 ◽  
Vol 1 (2) ◽  
pp. 17-23
Author(s):  
Takialddin Al Smadi
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Augmented Reality ◽  
Video Compression ◽  
Video Processing ◽  
Vision System ◽  
Citrus Fruit ◽  
Modern Technology ◽  
Image And Video Processing ◽  
Depth Video

This survey outlines the use of computer vision in Image and video processing in multidisciplinary applications; either in academia or industry, which are active in this field.The scope of this paper covers the theoretical and practical aspects in image and video processing in addition of computer vision, from essential research to evolution of application.In this paper a various subjects of image processing and computer vision will be demonstrated ,these subjects are spanned from the evolution of mobile augmented reality (MAR) applications, to augmented reality under 3D modeling and real time depth imaging, video processing algorithms will be discussed to get higher depth video compression, beside that in the field of mobile platform an automatic computer vision system for citrus fruit has been implemented ,where the Bayesian classification with Boundary Growing to detect the text in the video scene. Also the paper illustrates the usability of the handed interactive method to the portable projector based on augmented reality.   © 2018 JASET, International Scholars and Researchers Association

scholarly journals Industrial Robot Vision System

1983 ◽  
Vol 16 (20) ◽  
pp. 337-341
Author(s):  
V.M. Grishkin ◽  
F.M. Kulakov
Keyword(s):  
Vision System ◽  
Industrial Robot ◽  
Robot Vision

A Robot Vision System Based on Two-Dimensional Object-Oriented Models

1986 ◽  
Vol 16 (4) ◽  
pp. 582-589 ◽  
Author(s):  
Lorenz A. Schmitt ◽  
William A. Gruver ◽  
Assad Ansari
Keyword(s):  
Vision System ◽  
Robot Vision ◽  
Object Oriented ◽  
Two Dimensional ◽  
Dimensional Object
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