Title :
Least squares pose estimation of cylinder axes from multiple views using contour line features
Author :
Mark Becke;Thomas Schlegl
Author_Institution :
Ostbayerische Technische Hochschule Regensburg, Faculty of Mechanical Engineering, Galgenbergstr. 30, 93053 Regensburg, Germany
Abstract :
In this paper, a new method for a minimum-error pose estimation of cylinder axes based on apparent contour line features from multiple views is presented. Novel model equations for both single and particularly multiple views are derived, and based upon these, an iterative algorithm for least squares fitting the model to imaged cylinder contour line features is introduced. The good performance and fast convergence of the proposed algorithm is shown by solving exemplary fitting problems.
Keywords :
"Cameras","Mathematical model","Image reconstruction","Feature extraction","Geometry"
Conference_Titel :
Industrial Electronics Society, IECON 2015 - 41st Annual Conference of the IEEE
DOI :
10.1109/IECON.2015.7392371