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Chapter

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Title

On the Performance of Pose-Based RGB-D Visual Navigation Systems

Authors

[ 1 ] Instytut Automatyki i Inżynierii Informatycznej, Wydział Elektryczny, Politechnika Poznańska | [ P ] employee

Year of publication

2015

Chapter type

paper

Publication language

english

Abstract

EN This paper presents a thorough performance analysis of several variants of the feature-based visual navigation system that uses RGB-D data to estimate in real-time the trajectory of a freely moving sensor. The evaluation focuses on the advantages and problems that are associated with choosing a particular structure of the sensor-tracking front-end, employing particular feature detectors/descriptors, and optimizing the resulting trajectory treated as a graph of sensor poses. Moreover, a novel yet simple graph pruning algorithm is introduced, which enables to remove spurious edges from the pose-graph. The experimental evaluation is performed on two publicly available RGB-D data sets to ensure that our results are scientifically verifiable.

Pages (from - to)

407 - 423

DOI

10.1007/978-3-319-16808-1_28

URL

https://link.springer.com/chapter/10.1007/978-3-319-16808-1_28

Book

Computer Vision - ACCV 2014 : 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014 : Revised Selected Papers, Part II

Presented on

12th Asian Conference on Computer Vision, ACCV 2014, 1-5.11.2015, Singapore, Singapore

Publication indexed in

WoS (15)

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