Model-based orientation-independent 3-D machine vision techniques

1988 ◽  
Vol 24 (5) ◽  
pp. 597-607 ◽  
Author(s):  
R.J.P. de Figueiredo ◽  
N. Kehtarnavaz
Keyword(s):  
Machine Vision ◽  
Model Based

A kinetic energy model based on machine vision for recognition of aggressive behaviours among group-housed pigs

2018 ◽  
Vol 218 ◽  
pp. 70-78 ◽  
Author(s):  
Chen Chen ◽  
Weixing Zhu ◽  
Yizheng Guo ◽  
Changhua Ma ◽  
Weijia Huang ◽  
...  
Keyword(s):  
Kinetic Energy ◽  
Machine Vision ◽  
Energy Model ◽  
Model Based ◽  
Aggressive Behaviours

A Study of 3d Coordinate Measuring Based on Binocular Stereo Vision

2015 ◽  
Vol 740 ◽  
pp. 531-534 ◽  
Author(s):  
Tao He ◽  
Jiu Yin Chen ◽  
Xiang Hu ◽  
Xian Wang
Keyword(s):  
Machine Vision ◽  
Stereo Vision ◽  
Calibration Method ◽  
Measurement Model ◽  
Vision Measurement ◽  
Model Based ◽  
Binocular Stereo Vision ◽  
Binocular Stereo ◽  
Stereo Vision Measurement

It is important to obtain the 3d coordinate in the field of measuring. How accurate, fast, convenient to obtain the 3d coordinate affects the accuracy and reliability of measurement directly. Through studying the basic theories of machine vision this paper focus on the study of a stereo vision measurement model based on the intersecting axis. In view of the parameters in the model of binocular stereo vision, this paper uses the Zhang Zhengyou calibration method to calibrate the system of Stereo vision. In order to test the accuracy of the system, this paper measures the distance of two standard circular. Finally, the machining experiment validates the proposed method.

Model-based automatic target recognition using hierarchical foveal machine vision

1996 ◽  
Author(s):  
Douglas C. McKee ◽  
Cesar Bandera ◽  
Sugata Ghosal ◽  
Patrick J. Rauss
Keyword(s):  
Machine Vision ◽  
Target Recognition ◽  
Automatic Target Recognition ◽  
Model Based

Tool Wear Monitoring: An Automated System Based on Multiple Cutting Force Parameters and Machine Vision Technique

2009 ◽  
Vol 626-627 ◽  
pp. 5-10 ◽  
Author(s):  
Yu Teng Liang ◽  
Yih Chih Chiou
Keyword(s):  
Tool Wear ◽  
Machine Vision ◽  
Cutting Force ◽  
Monitoring System ◽  
Flank Wear ◽  
Cutting Parameters ◽  
Tool Wear Monitoring ◽  
Model Based ◽  
Wear Monitoring ◽  
Vision Technique

This study proposes a tool wear automatic monitoring system based on multiple parameters analysis of cutting force and machine vision technique. A drilling model of cutting parameters (cutting force, coating layer, spindle speed and feed rate) and tool condition (focusing on tool flank wear measurement and analysis) was developed. The experimental design methods developed in this study can be used to optimize cutting parameters efficiently and reliably. The drilling model based on cutting parameters was constructed using Taguchi method. This method enabled evaluation of wear status based on the actual force obtained from a dynamometer. The derived relation is useful for in-process wear monitoring. Tool wear dynamics are extremely complex and not yet fully understood. Therefore, vision-based tool wear monitoring techniques can help elucidate wear progression. In this study, a drilling model based on the machine vision technique was used to establish a direct relation between cutting parameters and tool wear. The object of the experiments was to measure the flank wear of cutting tools with various coatings. The experimental results show that the monitoring system clarifies the relationships between cutting force and multiple cutting parameters.

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