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2011 | OriginalPaper | Chapter

Next-Best-View Planning for 3D Object Reconstruction under Positioning Error

Authors : Juan Irving Vásquez, L. Enrique Sucar

Published in: Advances in Artificial Intelligence

Publisher: Springer Berlin Heidelberg

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To acquire a 3D model of an object it is necessary to plan a set of locations, called views, where a range sensor will be placed. The problem is solved in greedy manner, by selecting iteratively next-best-views. When a mobile robot is used, we have to take into account positioning errors, given that they can affect the quality and efficiency of the plan. We propose a method to plan “safe views” which are successful even when there is positioning error. The method is based on a reevaluation of the candidate views according to their neighbors, so view points which are safer against positioning error are preferred. The method was tested in simulation with objects of different complexities. Experimental results show that the proposed method achieves similar results as the ideal case without error, reducing the number of views required against the standard approach that does not consider positioning error.

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Metadata
Title
Next-Best-View Planning for 3D Object Reconstruction under Positioning Error
Authors
Juan Irving Vásquez
L. Enrique Sucar
Copyright Year
2011
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-25324-9_37

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