Vision-guided localization for automated camera control

Gerard T. McKee; Q. Xie; Bernard G. Brooks

doi:10.1117/12.189064

6 October 1994 Vision-guided localization for automated camera control

Gerard T. McKee, Q. Xie, Bernard G. Brooks

Proceedings Volume 2355, Sensor Fusion VII; (1994) https://doi.org/10.1117/12.189064
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States

Abstract

In this paper we report on research we are carrying out on camera localization and control for remote viewing during teleoperation. We present an approach to the localization problem which exploits a model of the task environment to guide the selection of vision filters for picking out `interesting' features. This research adapts the `interest' operator ideas of Moravec within a model-based vision framework. We present initial results which demonstrate the utility of feature-sensitive interest operators for picking out key visual landmarks.

Citation Download Citation

Gerard T. McKee, Q. Xie, and Bernard G. Brooks "Vision-guided localization for automated camera control", Proc. SPIE 2355, Sensor Fusion VII, (6 October 1994); https://doi.org/10.1117/12.189064

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