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Proceedings Paper

Accuracy Of Position Estimation By Centroid
Author(s): Tung-Chiang Deng; Trudy L. Bergen
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Paper Abstract

The problem of locating an object in noisy optical sensor data has arisen in many applications. The object location normally coincides with the center of a two-dimensional blur, when there is no noise. Thus one intuitively appealing estimate of the object location is the centroid of the area in which intensities of pixels exceed a certain threshold. Before the centroid is computed, the intensity data have usually undergone a series of signal processing steps. Errors are introduced in signal processing through sampling, non-uniform responses among scanning detectors, read-out noise, and quantization. In this paper, we evaluate the accuracy of using the centroid to estimate the object position. We report simulated accuracy as a function of design parameters such as sampling rate, noise variance, quantizer resolution, and signal-to-noise ratio. We also report the derivation of probability density function of the centroid assuming additive Gaussian white noise.

Paper Details

Date Published: 19 February 1988
PDF: 10 pages
Proc. SPIE 0848, Intelligent Robots and Computer Vision VI, (19 February 1988); doi: 10.1117/12.942730
Show Author Affiliations
Tung-Chiang Deng, The Aerospace Corporation (United States)
Trudy L. Bergen, The Aerospace Corporation (United States)

Published in SPIE Proceedings Vol. 0848:
Intelligent Robots and Computer Vision VI
David P. Casasent; Ernest L. Hall, Editor(s)

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