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Proceedings Paper

Feature matching for automatic generation of distortionless digital orthophoto
Author(s): Maxim Fradkin; Uzi Ethrog
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Paper Abstract

The conventional method of automatic orthophoto generation, based on utilizing existing DTM, is essentially incapable of yielding distortionless rectification of the 3-D surface objects, especially in the case of large-scale man-built environments. Outlining the proposed alternative method of orthophoto generation, we concentrate on the incorporation of feature stereo matching technique, based on a multi-primitive hierarchical approach. First, feature hierarchy, consisting of line segments, parallel segments, vertices, edges, edge contours, and close polygons, is generated simultaneously in two images. This allows, by applying rigorous geometric constraints, to reduce significantly the number of generated spurious features, increasing therefore the efficiency and the reliability of the grouping process as well as those of the following matching procedure. A top-down matching algorithm, utilizing the maximal clique technique, propagates matching results through the hierarchy levels, employing various hierarchical and topological relationships established between the features.

Paper Details

Date Published: 5 August 1997
PDF: 12 pages
Proc. SPIE 3072, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision III, (5 August 1997); doi: 10.1117/12.281038
Show Author Affiliations
Maxim Fradkin, Technion--Israel Institute of Technology (Israel)
Uzi Ethrog, Technion--Israel Institute of Technology (Israel)

Published in SPIE Proceedings Vol. 3072:
Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision III
David M. McKeown; J. Chris McGlone; Olivier Jamet, Editor(s)

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