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Proceedings Paper

Hierarchical approach to reconstruct surfaces by using iteratively rectified imagery
Author(s): Toni Schenk; Jin-Cheng Li; Charles K. Toth
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Paper Abstract

A new approach to reconstruct the three-dimensional surface of the object space from digital images is described. All the object points obtained by an automatic orientation procedure lead to a first approximation of the surface. Edges are computed for one image and matched to the other image by grey level correlation or least-squares matching through the scale space. To every discrete step in the scale space there exists the digital stereopair (image pyramid), the corresponding surface (digital elevation model DEM) and the warped images. The warped images in this discrete scale space representation correspond to digital orthophotos obtained from the DEMs that result from matching the image pyramid. We propose to use the warped images on every successive level in the image pyramid in order to reduce the foreshortening problems associated with any area-based matching method. The paper describes the method and some experimental results are reported.

Paper Details

Date Published: 1 August 1990
PDF: 7 pages
Proc. SPIE 1395, Close-Range Photogrammetry Meets Machine Vision, 13951N (1 August 1990); doi: 10.1117/12.2294302
Show Author Affiliations
Toni Schenk, The Ohio State Univ. (United States)
Jin-Cheng Li, The Ohio State Univ. (United States)
Charles K. Toth, The Ohio State Univ. (United States)

Published in SPIE Proceedings Vol. 1395:
Close-Range Photogrammetry Meets Machine Vision
Armin Gruen; Emmanuel P. Baltsavias, Editor(s)

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