A Multi-Camera 6-DOF Pose Tracker

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dc.contributor.author Tariq, Sarah
dc.contributor.author Dellaert, Frank
dc.date.accessioned 2011-04-14T19:28:02Z
dc.date.available 2011-04-14T19:28:02Z
dc.date.issued 2004-11
dc.identifier.citation Tariq, S., & Dellaert, F. (2004). “A Multi-Camera 6-DOF Pose Tracker”. Proceedings of the IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR 2004), 2-5 November 2004, 296-297. en_US
dc.identifier.uri http://hdl.handle.net/1853/38531
dc.description ©2004 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. en_US
dc.description Presented at the IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR 2004), 2-5 November 2004, Arlington, VA.
dc.description DOI: 10.1109/ISMAR.2004.6
dc.description.abstract Most of the work in head-pose tracking has concentrated on single-camera systems with a relatively small field of view which have limited accuracy because features are only observed in a single viewing direction. We present a multi-camera pose tracker that handles an arbitrary configuration of cameras rigidly fixed to the observer's head. By using multiple cameras, we increase the robustness and accuracy by which a 6-DOF pose is tracked. However, in a multi-camera rig setting, earlier methods for determining the unknown pose from three world-to-camera correspondences are no longer applicable. We present a RANSAC [2] based method that handles multi-camera rigs by using a fast nonlinear minimization step in each RANSAC round. en_US
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.subject Computer vision en_US
dc.subject Multi-camera en_US
dc.subject Pose tracking en_US
dc.subject 6DOF en_US
dc.title A Multi-Camera 6-DOF Pose Tracker en_US
dc.type Post-print en_US
dc.type Proceedings
dc.contributor.corporatename Georgia Institute of Technology. Center for Robotics and Intelligent Machines
dc.contributor.corporatename Georgia Institute of Technology. College of Computing
dc.publisher.original Institute of Electrical and Electronics Engineers


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