Neural networks applications in manufacturing processes
Proceedings of the 14th annual conference on Computers and industrial engineering
Computers and Industrial Engineering - Collection of papers on Computer-Integrated Manufacturing
Neural networks for precise measurement in computer vision systems
Computers in Industry
Neural network design
A neural network approach for early cost estimation of packaging products
Computers and Industrial Engineering
On line surface roughness measurements using image processing towards an adaptive control
Proceedings of the 23rd international conference on on Computers and industrial engineering
Automated inspection of textured ceramic tiles
Computers in Industry
Computer Vision and Fuzzy-Neural Systems
Computer Vision and Fuzzy-Neural Systems
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Computer Vision: Three-Dimensional Data from Images
Computer Vision: Three-Dimensional Data from Images
Neural and Adaptive Systems: Fundamentals through Simulations with CD-ROM
Neural and Adaptive Systems: Fundamentals through Simulations with CD-ROM
Neuro-Vision Systems: Principles and Applications
Neuro-Vision Systems: Principles and Applications
Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
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A methodology is presented for camera calibration that is designed to improve the accuracy of machine vision based object measurement systems. The regression and artificial neural network techniques studied are considered to be complimentary rather than competitive. Neural networks have been identified as being particularly useful for the precise modelling of non-linear response, and offer the additional benefits of being non-prescriptive and generally applicable to factors such as radial lens distortion, manufacturing errors and minor camera misalignments. The combination of these modelling techniques within automated program control strategy is suggested as a new approach for straightforward and accessible machine vision calibration. The method has particularly good application to vision metrology and reverse engineering tasks. A demonstrator system has been constructed, employing a scanning laser line and vision system for object measurement in three-dimensions. Experimental results are presented along with a demonstration of the reduction in measurement error that can be attained through the application of regression analysis and artificial neural network modelling.