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publishedinProc.ofConferenceonComputerVisionandPatternRecognition(CVPR2007) IEEEComputerSociety,LosAlamitos,California

Summary: publishedinProc.ofConferenceonComputerVisionandPatternRecognition(CVPR2007)
Active Visual Object Reconstruction using D-, E-, and T-Optimal Next Best
Stefan Wenhardt, Benjamin Deutsch
, Elli Angelopoulou, Heinrich Niemann
Universit¨at Erlangen-N¨urnberg
Martenstrasse 3, 91074 Erlangen, Germany
In visual 3-D reconstruction tasks with mobile cameras,
one wishes to move the cameras so that they provide the
views that lead to the best reconstruction result. When
the camera motion is adapted during the reconstruction,
the view of interest is the next best view for the current
shape estimate. We present such a next best view plan-
ning approach for visual 3-D reconstruction. The recon-
struction is based on a probabilistic state estimation with
sensor actions. The next best view is determined by a met-
ric of the state estimation's uncertainty. We compare three


Source: Angelopoulou, Elli - Department of Computer Science, Friedrich Alexander University Erlangen Nürnberg


Collections: Computer Technologies and Information Sciences