Real-time camera pose in a room

Authors:
Manmohan Krishna Chandraker;Christoph Stock;Axel Pinz
Affiliations:
Institute of Electrical Measurement and Measurement Signal Processing, Graz University of Technology, Austria;Institute of Electrical Measurement and Measurement Signal Processing, Graz University of Technology, Austria;Institute of Electrical Measurement and Measurement Signal Processing, Graz University of Technology, Austria
Venue:
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
Year:
2003

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Abstract

Many applications of computer vision require camera pose in real-time. We present a new, fully mobile, purely vision-based tracking system that works indoors in a prepared room, using artificial landmarks. The main contributions of the paper are: improved pose accuracy by subpixel corner localization, high frame rates by CMOS image aquisition of small subwindows, and a novel sparse 3D model of the room for a spatial target representation and selection scheme which gains robustness.