Paper
24 November 2009 Infrared marker-based tracking in an indoor unknown environment for augmented reality applications
Yetao Huang, Dongdong Weng, Yue Liu, Yongtian Wang
Author Affiliations +
Abstract
Marker based tracking requires complicated preparation work that impedes its use in augmented reality applications. This paper presents a novel tracking scheme to be used in an indoor unknown scene by adapting simultaneous localization and mapping (SLAM) algorithms. An infrared (IR) marker system is specifically designed to simplify the feature recognition and tracking in SLAM process. With one initial IR marker, the other markers can be projected randomly onto a large-area environment. The pose of camera can be estimated with a monocular IR camera in real time. Experimental result demonstrates that the proposed system meets the requirements of accuracy for large-area tracking. A prototype system is built to show its feasibility in unknown environment and potential use in applications.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yetao Huang, Dongdong Weng, Yue Liu, and Yongtian Wang "Infrared marker-based tracking in an indoor unknown environment for augmented reality applications", Proc. SPIE 7513, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology, 75132V (24 November 2009); https://doi.org/10.1117/12.839662
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Cited by 1 scholarly publication and 4 patents.
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KEYWORDS
Cameras

Infrared cameras

Infrared imaging

Imaging systems

Motion models

Autoregressive models

Infrared radiation

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