Advertisement
Published in:
2014 | OriginalPaper | Chapter
Adopting Feature-Based Visual Odometry for Resource-Constrained Mobile Devices
Authors : Michał Fularz, Michał Nowicki, Piotr Skrzypczyński
Published in: Image Analysis and Recognition
Publisher: Springer International Publishing
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
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.