Position determination of encoded and uncoded targets on the large hadron collider at CERN

Abstract

The automatic detection of a great number of points of interest provides to photogrammetry essential capabilities for the automation of the procedure as well as for achieving optimum target position determination. The article deals with the use of image processing techniques in 2D images, which contribute to the detection of the targets, the ellipse fitting based on the least squares adjustment for the position determination of the targets, the decoding of encoded targets, and the usage of collinearity equations combined with least squares in order to find the homologous points among several images for the uncoded targets.