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Novel Handoff Frequency Algorithms for Vehicular Area Networks Read chapter Read first chapter

2013 | OriginalPaper | Chapter

Scalable Building Facade Recognition and Tracking for Outdoor Augmented Reality

Authors : Suwon Lee, Yong-Ho Seo, Hyun S. Yang

Published in: Information Technology Convergence

Publisher: Springer Netherlands

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Abstract

This paper proposes a scalable building facade recognition and tracking system for outdoor augmented reality enabling real time augmentation of various information onto the facade. The system is composed of three modules: recognition and tracking module, server-client module and GPS module. In the recognition and tracking module, Generic Random Forest was used for real time recognition and three-dimensional pose estimation of facades. For scalable recognition, global region is divided into multiple local regions and then, same regional buildings are trained separately into a forest. In the server-client module, client maintains own travel map in order to choose proper forest by employing GPS sensor, and server transmits a new forest when client detects never visited regions. This makes our system scalable and also expansible to new regions.

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Metadata
Title
Scalable Building Facade Recognition and Tracking for Outdoor Augmented Reality
Authors
Suwon Lee
Yong-Ho Seo
Hyun S. Yang
Copyright Year
2013
Publisher
Springer Netherlands
Book
Information Technology Convergence

Print ISBN: 978-94-007-6995-3

Electronic ISBN: 978-94-007-6996-0

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-94-007-6996-0_97