Title :
Error analysis and planning accuracy for dimensional measurement in active vision inspection
Author :
Yang, Christopher C. ; Marefat, Michael M. ; Ciarallo, Frank W.
Author_Institution :
Dept. of Comput. Sci. & Inf. Syst., Hong Kong Univ., Hong Kong
fDate :
6/1/1998 12:00:00 AM
Abstract :
This paper discusses the effect of spatial quantization errors and displacement errors on the precision dimensional measurements for an edge segment. Probabilistic analysis in terms of the resolution of the image is developed for 2D quantization errors. Expressions for the mean and variance of these errors are developed. The probability density function of the quantization error is derived. The position and orientation errors of the active head are assumed to be normally distributed. A probabilistic analysis in terms of these errors is developed for the displacement errors. Through integrating the spatial quantization errors and the displacement errors, we can compute the total error in the active vision inspection system. Based on the developed analysis, we investigate whether a given set of sensor setting parameters in an active system is suitable to obtain a desired accuracy for specific dimensional measurements, and one can determine sensor positions and view directions which meet the necessary tolerance and accuracy of inspection
Keywords :
active vision; automatic optical inspection; error analysis; image recognition; probability; quantisation (signal); size measurement; stereo image processing; 3D vision; active vision inspection; computer vision; dimensional measurement; displacement errors; error analysis; image understanding; planning accuracy; probability density function; sensor placement; spatial quantization errors; Displacement measurement; Error analysis; Image analysis; Image resolution; Image segmentation; Inspection; Probability density function; Quantization; Sensor systems; Spatial resolution;
Journal_Title :
Robotics and Automation, IEEE Transactions on