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Proceedings Paper

Use of object space matching for feature extraction in multiple aerial images
Author(s): Toni F. Schenk; Charles K. Toth
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Paper Abstract

In this paper, we explore issues in object space matching using photogrammetric principles for computer vision. We provide a general philosophical basis for our research and demonstrated its utility with the example of multiple image point matching. In the proposed model, we reconstruct the shape and reflectance of the surface patch from the gray levels of the corresponding image patches. The geometry of the surface patch is approximated by a digital elevation model (DEM). For every surface grid element a reflectance value is introduced. Apart from the geometric and radiometric parameters of the surface path, the exterior orientation of the image patches is introduced as unknowns. Since the image patches are rather small, a parallel projection is used instead of the central projection. The description of the mathematical model is followed by implementation details and results obtained from a prototype version of an automatic aerotriangulation system.

Paper Details

Date Published: 24 September 1993
PDF: 10 pages
Proc. SPIE 1944, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision, (24 September 1993); doi: 10.1117/12.155815
Show Author Affiliations
Toni F. Schenk, The Ohio State Univ. (United States)
Charles K. Toth, The Ohio State Univ. (United States)


Published in SPIE Proceedings Vol. 1944:
Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision
Eamon B. Barrett; David M. McKeown, Editor(s)

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