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.
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Chandraker, M.K., Stock, C., Pinz, A. (2003). Real-Time Camera Pose in a Room. In: Crowley, J.L., Piater, J.H., Vincze, M., Paletta, L. (eds) Computer Vision Systems. ICVS 2003. Lecture Notes in Computer Science, vol 2626. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36592-3_10
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DOI: https://doi.org/10.1007/3-540-36592-3_10
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