A comparison of statistical regression and neural network methods in modeling measurement errors for computer vision inspection systems-Reference-Cited by-同舟云学术

A comparison of statistical regression and neural network methods in modeling measurement errors for computer vision inspection systems

Published:1995-07 Issue:3 Volume:28 Page:593-603
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Alec Chang C.,Su Chao-Ton

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference27 articles.

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2. Laboratory calibration and characterization of video cameras;Burner;SPIE 1395, Close-Range Photogrammetry Meets Machine Vision,1990

3. Determine a vision system's 3D coordinate measurement capability using taguchi methods;Shiau;Int. J. Prod. Res.,1991

4. Camera calibration by vanishing lines for 3-D computer visions;Wang;IEEE Trans. Pattern Anal. Mach. Intell.,1991

5. It can be done without camera calibration;Mohr;Pattern Recogn. Lett.,1991

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