Fast parallel 3D stereo vision measurement system using an artificial neural network

2002 ◽  
Author(s):  
Di Feng ◽  
Yingbai Yan ◽  
Naiguang Lu ◽  
Wenyi Deng
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Stereo Vision ◽  
Measurement System ◽  
Vision Measurement ◽  
Artificial Neural ◽  
Stereo Vision Measurement

Online Calibration of Stereo Vision Measurement System

2009 ◽  
Vol 29 (6) ◽  
pp. 1546-1551
Author(s):  
徐巧玉 Xu Qiaoyu ◽  
姚怀 Yao Huai ◽  
车仁生 Che Rensheng
Keyword(s):  
Stereo Vision ◽  
Measurement System ◽  
Online Calibration ◽  
Vision Measurement ◽  
Stereo Vision Measurement

A Novel Stereo Vision Measurement System Using Both Line Scan Camera and Frame Camera

2019 ◽  
Vol 68 (10) ◽  
pp. 3563-3575 ◽  
Author(s):  
Zhen Liu ◽  
Suining Wu ◽  
Qun Wu ◽  
Chenggen Quan ◽  
Yiming Ren
Keyword(s):  
Stereo Vision ◽  
Measurement System ◽  
Line Scan ◽  
Vision Measurement ◽  
Stereo Vision Measurement

An Idea of a Measurement System for Determining Thermal Parameters of Heat Insulation Materials

2011 ◽  
Vol 18 (2) ◽  
pp. 261-274 ◽  
Author(s):  
Stanisław Chudzik ◽  
Waldemar Minkina
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Heat Conduction ◽  
Measurement System ◽  
Heat Insulation ◽  
Heat Conduction Problem ◽  
Thermal Parameters ◽  
Insulation Materials ◽  
Hot Probe ◽  
Artificial Neural

An Idea of a Measurement System for Determining Thermal Parameters of Heat Insulation MaterialsThe article presents the prototype of a measurement system with a hot probe, designed for testing thermal parameters of heat insulation materials. The idea is to determine parameters of thermal insulation materials using a hot probe with an auxiliary thermometer and a trained artificial neural network. The network is trained on data extracted from a nonstationary two-dimensional model of heat conduction inside a sample of material with the hot probe and the auxiliary thermometer. The significant heat capacity of the probe handle is taken into account in the model. The finite element method (FEM) is applied to solve the system of partial differential equations describing the model. An artificial neural network (ANN) is used to estimate coefficients of the inverse heat conduction problem for a solid. The network determines values of the effective thermal conductivity and effective thermal diffusivity on the basis of temperature responses of the hot probe and the auxiliary thermometer. All calculations, like FEM, training and testing processes, were conducted in the MATLAB environment. Experimental results are also presented. The proposed measurement system for parameter testing is suitable for temporary measurements in a building site or factory.

The analysis on optical property for stereo vision measurement system

2016 ◽  
Author(s):  
Zong-ming Liu ◽  
Dong Ye ◽  
Yu Zhang ◽  
Shan Lu ◽  
Shu-qing Cao
Keyword(s):  
Optical Property ◽  
Stereo Vision ◽  
Measurement System ◽  
Vision Measurement ◽  
Stereo Vision Measurement
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