DocumentCode :
1807615
Title :
Automating the sensor placement task for accurate dimensional inspection
Author :
Mason, Scott O. ; Gruen, Armin
Author_Institution :
Inst. for Geodesy & Photogrammetry, Swiss Federal Inst. of Technol., Zurich, Switzerland
fYear :
1994
fDate :
8-11 Feb 1994
Firstpage :
142
Lastpage :
150
Abstract :
Deriving accurate 3D object dimensions with a vision system for inspection tasks demands the use of multi-station sensor configurations. In such configurations, each feature appears in images from multiple viewpoints facilitating its measurement by means of optical triangulation. This paper reviews photogrammetric expertise in the design of such configurations, including the bundle method, a general math model for optical triangulation, and fundamental considerations and constraints influencing the placement of sensor stations. Finally, we report on development of an expert system for automating the design of multi-station configurations. Examples showing the current status of this work are given
Keywords :
automatic optical inspection; computer vision; expert systems; image sensors; photogrammetry; production engineering computing; 3D object dimensions; accurate dimensional inspection; bundle method; expert system; general math model; manufacturing inspection; multistation configurations; multistation sensor configuration; optical triangulation; photogrammetric expertise; sensor placement task; three dimensional object dimensions; vision system; Automatic optical inspection; Expert systems; Geodesy; Image converters; Intelligent sensors; Level measurement; Optical design; Optical sensors; Sensor phenomena and characterization; Sensor systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
CAD-Based Vision Workshop, 1994., Proceedings of the 1994 Second
Conference_Location :
Champion, PA
Print_ISBN :
0-8186-5310-8
Type :
conf
DOI :
10.1109/CADVIS.1994.284506
Filename :
284506
Link To Document :
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