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1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'99) - Volume 2
Robot Localization using Uncalibrated Camera Invariants
Fort Collins, Colorado
June 23-June 25
ISBN: 0-7695-0149-4
Michael Werman, Hebrew University
Maolin Qiu, Hebrew University
Subhashis Banerjee, Indian Institute of Technology
Sumantra Dutta Roy, Indian Institute of Technology
We describe a set of image measurements which are invariant to the camera internals but are location variant. We show that using these measurements it is possible to calculate the self-localization of a robot using known landmarks and uncalibrated cameras. We also show that it is possible to compute, using uncalibrated cameras, the Euclidean structure of 3-D world points using multiple views from known positions. We are free to alter the internal parameters of the camera during these operations. Our initial experiments demonstrate the applicability of the method.
Index Terms:
Uncalibrated camera, Invariants, Pose estimation, Structure determination
Citation:
Michael Werman, Maolin Qiu, Subhashis Banerjee, Sumantra Dutta Roy, "Robot Localization using Uncalibrated Camera Invariants," cvpr, vol. 2, pp.2353, 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'99) - Volume 2, 1999
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