Title :
Accuracy issues in measuring quantized images of straight-line features
Author :
Gordon, Steven J. ; Seering, Warren P.
Author_Institution :
Massachusetts Institute of Technology, Cambrige, Massachusetts
Abstract :
The accuracy with which objects that generate images of line segments may be located in the presence of quantization noise is investigated. Expressions for the standard deviation of errors in orientation and translation are derived. The accuracy of these expressions is substantiated by a number of Monte Carlo simulations and experimental tests.
Keywords :
Artificial intelligence; Computer industry; Image generation; Image segmentation; Laboratories; Least squares approximation; Least squares methods; Noise generators; Quantization; Robotic assembly;
Conference_Titel :
Robotics and Automation. Proceedings. 1986 IEEE International Conference on
DOI :
10.1109/ROBOT.1986.1087730
