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has been cited by the following article:
TITLE: Accuracy of Measuring Camera Position by Marker Observation
AUTHORS: Vladimir A. Grishin
KEYWORDS: Computer Vision System, Camera Position Measurement, Marker Observation, Lower Bound to Errors
JOURNAL NAME: Journal of Software Engineering and Applications, Vol.3 No.10, November 19, 2010
ABSTRACT: A lower bound to errors of measuring object position is constructed as a function of parameters of a monocular computer vision system (CVS) as well as of observation conditions and a shape of an observed marker. This bound justifies the specification of the CVS parameters and allows us to formulate constraints for an object trajectory based on required measurement accuracy. For making the measurement, the boundaries of marker image are used.