Use of object space matching for feature extraction in multiple aerial images

Toni F. Schenk; Charles K. Toth

doi:10.1117/12.155815

24 September 1993 Use of object space matching for feature extraction in multiple aerial images

Toni F. Schenk, Charles K. Toth

Proceedings Volume 1944, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision; (1993) https://doi.org/10.1117/12.155815
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

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.

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Toni F. Schenk and Charles K. Toth "Use of object space matching for feature extraction in multiple aerial images", Proc. SPIE 1944, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision, (24 September 1993); https://doi.org/10.1117/12.155815

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KEYWORDS

Photogrammetry

Computer vision technology

Machine vision

Digital photography

Mathematical modeling

Feature extraction

Reflectivity

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