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Robust camera pose estimation using 2d fiducials tracking for real-time augmented reality systems
2004
Proceedings of the 2004 ACM SIGGRAPH international conference on Virtual Reality continuum and its applications in industry - VRCAI '04
Augmented reality (AR) deals with the problem of dynamically and accurately align virtual objects with the real world. Among the used methods, vision-based techniques have advantages for AR applications, their registration can be very accurate, and there is no delay between the motion of real and virtual scenes. However, the downfall of these approaches is their high computational cost and lack of robustness. To address these shortcomings we propose a robust camera pose estimation method based
doi:10.1145/1044588.1044682
dblp:conf/vrcai/AbabsaM04
fatcat:3ikhl453vraapkzalwjz7jg7qe