Next best view planning for active model improvement

Enrique Dunn, Jan Michael Frahm

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

67 Scopus citations

Abstract

We propose a novel approach to determining the Next Best View (NBV) for the task of efficiently building highly accurate 3D models from images. Our proposed method deploys a hierarchical uncertainty driven model refinement process designed to select vantage viewpoints based on the model's covariance structure and appearance, as well as the camera characteristics. The developed NBV planning system incrementally builds a sensing strategy by sequentially finding the single camera placement, which best reduces an existing model's 3D uncertainty. The generic nature of our system's design and internal data representation makes it well suited to be applied to a wide variety of 3D modeling algorithms. It can be used within active computer vision systems as well as for optimized view selection from the set of available views. Experimental results are presented to illustrate the effectiveness and versatility of our approach.

Original languageEnglish
Title of host publicationBritish Machine Vision Conference, BMVC 2009 - Proceedings
DOIs
StatePublished - 2009
Event2009 20th British Machine Vision Conference, BMVC 2009 - London, United Kingdom
Duration: 7 Sep 200910 Sep 2009

Publication series

NameBritish Machine Vision Conference, BMVC 2009 - Proceedings

Conference

Conference2009 20th British Machine Vision Conference, BMVC 2009
Country/TerritoryUnited Kingdom
CityLondon
Period7/09/0910/09/09

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