Accuracy Of Position Estimation By Centroid

Tung-Chiang Deng; Trudy L. Bergen

doi:10.1117/12.942730

19 February 1988 Accuracy Of Position Estimation By Centroid

Tung-Chiang Deng, Trudy L. Bergen

Proceedings Volume 0848, Intelligent Robots and Computer Vision VI; (1988) https://doi.org/10.1117/12.942730
Event: Advances in Intelligent Robotics Systems, 1987, Cambridge, CA, United States

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.

Citation Download Citation

Tung-Chiang Deng and Trudy L. Bergen "Accuracy Of Position Estimation By Centroid", Proc. SPIE 0848, Intelligent Robots and Computer Vision VI, (19 February 1988); https://doi.org/10.1117/12.942730

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available