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Proceedings Paper

Line photogrammetry: a tool for precise localization of 3D points and lines in automated object reconstruction
Author(s): Eberhard Guelch
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Paper Abstract

An approach to line photogrammetry using four independent parameters for the representation of a 3D straight line is discussed. The developed algorithm is designed for the reconstruction of objects in map updating from large scale aerial imagery. It allows the introduction of 3D geometric constraints on single and multiple lines in a simultaneous adjustment process. The approach is extended to digital line photogrammetry, by automatically extracting straight line segments with image segmentation methods. The identification of corresponding lines and the 3D constraints are currently provided by the user. In an empirical test it has been shown that line photogrammetry is at least as good as conventional point photogrammetry concerning accuracy and reliability, but with digital line photogrammetry offering a potential automation of the measurement process. Current research involves the development of a multi stage comparator for interactive mapping with a core of line photogrammetry and an automated extraction of straight lines. The final intention is however, to provide the line correspondences and the constraints by automated parsing of image segmentations and to use digital line photogrammetry as a final, precise adjustment process to derive coordinates of lines and corners of buildings with objective quality estimates.

Paper Details

Date Published: 5 July 1995
PDF: 11 pages
Proc. SPIE 2486, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision II, (5 July 1995); doi: 10.1117/12.213108
Show Author Affiliations
Eberhard Guelch, Royal Institute of Technology (Sweden)

Published in SPIE Proceedings Vol. 2486:
Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision II
David M. McKeown Jr.; Ian J. Dowman, Editor(s)

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