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An automated computerized vision technique for determination of three-dimensional object geometryIt is very important to determine three dimensional geometry of objects quickly in various military, space, construction, and industrial applications. An automatic scheme to obtain three dimensional geometry of objects by employing only one camera is presented. At present, this technique is applicable to a limited category of objects, satisfying the following constraints: they are flat-surfaces, and all the vertex points have to be recognized as corner points of the two dimensional image. The scheme consists of corner detection, data communication, camera calibration techniques and point searching and matching, edge cancelation, and creation procedures. An L shaped model is chosen as a test object. Experimental results demonstrated the reconstruction of this object geometry within 5 mm discrepancy. This scheme is quite convenient, efficient to use and can be applied to a wide range of problems in the real world.
Document ID
19880020964
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Chiang, Pen-Tai
(Maryland Univ. College Park, MD, United States)
Yang, Jackson C. S.
(Maryland Univ. College Park, MD, United States)
Pavlin, V.
(Maryland Univ. College Park, MD, United States)
Date Acquired
September 5, 2013
Publication Date
August 1, 1988
Publication Information
Publication: NASA, Goddard Space Flight Center, The 1988 Goddard Conference on Space Applications of Artificial Intelligence
Subject Category
Cybernetics
Accession Number
88N30348
Funding Number(s)
CONTRACT_GRANT: NSF MSM-86-15187
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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