Treffer: Real-Time Self-Localization from Panoramic Images on Mobile Devices
Title:
Real-Time Self-Localization from Panoramic Images on Mobile Devices
Contributors:
The Pennsylvania State University CiteSeerX Archives
Source:
Publication Year:
2011
Collection:
CiteSeerX
Subject Terms:
Index Terms, I.2.10 [Artificial Intelligence, Vision and Scene Understanding—3D/stereo scene analysis I.4.8 [Image Processing And Computer Vision, Scene Analysis—Tracking, I.5.4 [Pattern Recognition, Applications—Computer Vision C.5.3 [Computer System Implementation, Microcomputers—Portable devices (e.g, laptops, personal
Document Type:
Fachzeitschrift
text
Language:
English
Availability:
Rights:
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Accession Number:
edsbas.2B763747
Database:
BASE
Weitere Informationen
Self-localization in large environments is a vital task for accurately registered information visualization in outdoor Augmented Reality (AR) applications. In this work, we present a system for selflocalization on mobile phones using a GPS prior and an onlinegenerated panoramic view of the user’s environment. The approach is suitable for executing entirely on current generation mobile devices, such as smartphones. Parallel execution of online incremental panorama generation and accurate 6DOF pose estimation using 3D point reconstructions allows for real-time self-localization and registration in large-scale environments. The power of our approach is demonstrated in several experimental evaluations.