Title :
Uncertainty in object pose determination with three light-stripe range measurements
Author :
Kemmotsu, Keiichi ; Kanade, Takeo
Author_Institution :
Mitsubishi Heavy Ind. Ltd., Yokohama, Japan
Abstract :
A method for estimating the uncertainty in determining the pose of an object when using several light-stripe range finders is presented. Three-dimensional line segments obtained by the range finders are matched to model faces based on an interpretation tree search. The object pose is obtained by a least squares fit of the segment-face pairings. It is shown that the uncertainty in the position of the object can be estimated using the covariance matrix of the endpoint positions of the sensed line segments. Experiments with three light-stripe range finders show that this method makes it possible to estimate how accurately the pose of an object can be determined
Keywords :
distance measurement; image processing; least squares approximations; search problems; 3D line segments; covariance matrix; interpretation tree search; least squares fit; light-stripe range finders; light-stripe range measurements; model faces; object pose determination; segment-face pairings; structured light; uncertainty estimation; Application software; Computer errors; Computer science; Computer vision; Covariance matrix; Inspection; Layout; Least squares methods; Object recognition; Uncertainty;
Conference_Titel :
Robotics and Automation, 1993. Proceedings., 1993 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-8186-3450-2
DOI :
10.1109/ROBOT.1993.291860