Hybrid tracking system for robust fiducials registration in augmented reality

Abstract : An effective augmented reality system requires an accurate registration of virtual graphics on real images. In this work, we developed a multi-modal tracking architecture for object identification and occlusion handling. Our approach combines several sensors and techniques to overcome the environment changes. This architecture is composed of a first coded targets registration module based on a hybrid algorithm of pose estimation. To manage partial target occlusions, a second module based on a robust method for feature points tracking is developed. The latest component of the system is the hybrid tracking module. This multi-sensors part handles total target occlusions issue. Experiments with the multi-modal system proved the effectiveness of the proposed tracking approach and occlusion handling in augmented reality applications.
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https://hal.archives-ouvertes.fr/hal-00844984
Contributor : Frédéric Davesne <>
Submitted on : Tuesday, July 16, 2013 - 11:57:56 AM
Last modification on : Thursday, January 23, 2020 - 4:16:02 PM

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Madjid Maidi, Fakhr-Eddine Ababsa, Malik Mallem, Marius Preda. Hybrid tracking system for robust fiducials registration in augmented reality. Signal, Image and Video Processing, Springer Verlag, 2015, 9 (4), pp.831--849. ⟨10.1007/s11760-013-0508-⟩. ⟨hal-00844984⟩

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