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Proceedings Paper

The prediction Of Accuracy In Digital Cross-Correlation Of Stereo-Pair Images
Author(s): Thomas W. Ryan; B. R. Hunt
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Paper Abstract

The cross-covariance function is commonly used to locate conjugate imagery in digital stereo-pair images. Statistical analysis of the covariance function leads to expressions for the probability of correlation error, P , and the estimated mean-square-error over a region of imagery. These expressions depend only on the image auto-correlation function, the match window, and the number of correlator taps. The presence of distortion between images is modelled by comparinc a function f(x) with its distorted form f(h(x)). The effect of distortion on the expected cross-covariance function is shown to be a convolution with the image auto-ccvariance function. The result indicates that the choice of the true correlation oeak does not necessarily imply correct image conjugacy. The effect of distortion on the error prediction expressions is discussed.

Paper Details

Date Published: 24 April 1980
PDF: 8 pages
Proc. SPIE 0219, Electro-Optical Technology for Autonomous Vehicles, (24 April 1980); doi: 10.1117/12.958539
Show Author Affiliations
Thomas W. Ryan, University of Arizona (United States)
B. R. Hunt, University of Arizona, (United States)


Published in SPIE Proceedings Vol. 0219:
Electro-Optical Technology for Autonomous Vehicles
Ronald N. Hubbard, Editor(s)

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