Real-Time Camera Pose in a Room View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2003

AUTHORS

Manmohan Krishna Chandraker , Christoph Stock , Axel Pinz

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. More... »

PAGES

98-110

Book

TITLE

Computer Vision Systems

ISBN

978-3-540-00921-4
978-3-540-36592-1

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/3-540-36592-3_10

DOI

http://dx.doi.org/10.1007/3-540-36592-3_10

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1002674185


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