Vers l’immersion mobile en réalité augmentée : une approche basée sur le suivi robuste de cibles naturelles et sur l’interaction 3D

Abstract : Pose estimation and 3D interaction are the essential basis for any Augmented Reality (AR) system. We aim to treat those two fields in order to offer a pertinent AR system that allows a mobile immersion and natural interaction. In this optic, this thesis provides an overall consistent state of the art in both pose estimation and 3D interaction for AR. In addition, this thesis details our contributions that consists of MOBIL: a binary descriptor that compares geometric moments of the patch through a binary test. Two improvements of this descriptor: MOBIL_2B and POLAR_MOBIL are proposed in order to enhance its robustness. We used this descriptor with PTAM technique to ensure the user pose estimation respectively for the selection/manipulation task and the navigation task. On the other hand, we proposed a novel 3D interaction technique called “Zoom-In”, designed for augmented reality applications. This technique is based on the zoom of the captured image. It calculates the 3D transformation relative to the selected object. This technique allows user selecting and manipulating distant virtual objects by bringing them within the user arm’s reach by zooming in the captured image, and re-estimating the user pose thanks to our proposed descriptor. Finally, we present a conclusion that describes the essential of this work and provide perspective and future work.
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Submitted on : Tuesday, June 20, 2017 - 2:48:07 PM
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  • HAL Id : tel-01543086, version 1

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Abdelkader Bellarbi. Vers l’immersion mobile en réalité augmentée : une approche basée sur le suivi robuste de cibles naturelles et sur l’interaction 3D . Vision par ordinateur et reconnaissance de formes [cs.CV]. Université Paris Saclay; Université d'Evry Val d'Essonne, 2017. Français. ⟨NNT : 2017SACLE005⟩. ⟨tel-01543086⟩

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