DocumentCode :
762023
Title :
A Comparison Between Stereo-Vision Techniques for the Reconstruction of 3-D Coordinates of Objects
Author :
Anchini, Rosario ; Liguori, Consolatina ; Paciello, Vincenzo ; Paolillo, Alfredo
Author_Institution :
Dept. of Inf. & Electr. Eng., Salerno Univ.
Volume :
55
Issue :
5
fYear :
2006
Firstpage :
1459
Lastpage :
1466
Abstract :
This paper deals with the problems in setting up stereo-vision systems for contactless measurement of dimensional parameters in industrial environments. Two implicit calibration algorithms for the reconstruction of three-dimensional (3-D) real-world coordinates of objects from pairs of two-dimensional image coordinates have been implemented and compared. The former is based on a direct linear transformation, while the latter on an Artificial Neural Network (ANN). The results of the comparison made on artificial and real objects are finally reported in terms of statistical analysis of the reconstruction error
Keywords :
image reconstruction; neural nets; statistical analysis; stereo image processing; 2D image coordinates; 3D object coordinate; 3D real-world coordinates; 3D reconstruction; ANN; artificial neural network; calibration; contact less measurement; dimensional parameters; direct linear transformation; industrial environments; reconstruction error; statistical analysis; stereo image processing; stereo-vision techniques; vision systems; Application software; Area measurement; Artificial neural networks; Calibration; Cameras; Image reconstruction; Machine vision; Shape measurement; Three dimensional displays; Vibration measurement; Artificial neural networks (ANNs); calibration; image processing; stereo vision; three-dimensional (3-D) reconstruction; vision systems;
fLanguage :
English
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9456
Type :
jour
DOI :
10.1109/TIM.2006.881034
Filename :
1703886
Link To Document :
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