Adopting Feature-Based Visual Odometry for Resource-Constrained Mobile Devices

Michał Fularz; Michał Nowicki; Piotr Skrzypczyński

doi:10.1007/978-3-319-11755-3_48

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Chapter

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Title

Adopting Feature-Based Visual Odometry for Resource-Constrained Mobile Devices

Authors

Michał Fularz (WE) ^{[ 1 ][ P ]}
Michał Nowicki (WE) ^{[ 1 ][ P ]}
Piotr Skrzypczyński (WE) ^{[ 1 ][ P ]}

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

Year of publication

2014

Chapter type

paper

Publication language

english

Keywords

EN

mobile device
visual odometry
self-localization

Abstract

EN In many practical applications of mobile devices self-localization of the user in a GPS-denied indoor environment is required. Among the available approaches the visual odometry concept enables continuous, precise egomotion estimation in previously unknown environments. In this paper we examine the usual pipeline of a monocular visual odometry system, identifying the bottlenecks and demonstrating how to circumvent the resource constrains, to implement a real-time visual odometry system on a smartphone or tablet.

Pages (from - to)

431 - 441

DOI

10.1007/978-3-319-11755-3_48

URL

https://link.springer.com/chapter/10.1007/978-3-319-11755-3_48

Book

Image Analysis and Recognition : 11th International Conference, ICIAR 2014, Vilamoura, Portugal, 22-24 October, 2014, Proceedings, Part II

Presented on

11th International Conference on Image Analysis and Recognition, ICIAR 2014, 22-24.10.2014, Vilamoura, Portugal

Publication indexed in

WoS (15)

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