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. © Springer-Verlag Berlin Heidelberg 2003.
CITATION STYLE
Chandraker, M. K., Stock, C., & Pinz, A. (2003). Real-time camera pose in a Room. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2626, pp. 98–110). Springer Verlag. https://doi.org/10.1007/3-540-36592-3_10
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