Conference
Optimal Positioning of Multiple Cameras for Object Recognition Using Cramér-Rao Lower Bound
Abstract
In this paper the problem of active object recognition/pose estimation is investigated. The Principle Component Analysis is used to produce an observation vector from images captured simultaneously by multiple cameras from different view angles of an object belonging to a set of a priori known objects. Models of occlusion and sensor noise have been incorporated into a probabilistic model of sensor/object to increase the robustness of the …
Authors
Farshidi F; Sirouspour S; Kirubarajan T
Pagination
pp. 934-939
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
January 1, 2006
DOI
10.1109/robot.2006.1641829
Name of conference
Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006.