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Système de Réalité Augmentée basé sur l'observation de structures planes : conception et évaluation

Abstract : Augmented Reality (AR) aims to enhance a person's perception of the world by overlaying virtual objects on the real scene. In order to maintain a coherent appearance, augmented images must be updated in real time according to the camera movements into the scene. Camera parameter estimation is often affected by statistical fluctuations, which harms the visual impression of the augmented scene. In this thesis, we concentrate on vision-based camera calibration and we analyse the effects of calibration errors in practical situations in the context of AR. We also propose some calibration techniques for AR applications into planar piece-wise environments. Planar surfaces are quite common both in indoor and outdoor scenes and the applicability of our methods is thus rather broad. Our contributions on this subject concern : 1) Intrinsic camera calibration. We propose some improvements to known planar methods: a multi-planar approach, a statistical weighting of the input data, and some strategies to assist on-the-fly camera calibration. 2) Sequential camera tracking based on planar structures. In order to improve the stability of the camera viewpoint computation, we classify camera movements into motion models by using model selection criteria of adaptive complexity instead of using classical all-purpose criteria. Experimental assessment showed that the strategies we suggest in our work improve the accuracy and stability in camera parameter computation and hence the quality of the augmented images.
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Submitted on : Thursday, March 29, 2018 - 11:43:00 AM
Last modification on : Saturday, October 16, 2021 - 11:26:08 AM
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  • HAL Id : tel-01748612, version 1



Javier Flavio Vigueras Gomez. Système de Réalité Augmentée basé sur l'observation de structures planes : conception et évaluation. Autre [cs.OH]. Université Henri Poincaré - Nancy 1, 2007. Français. ⟨NNT : 2007NAN10060⟩. ⟨tel-01748612⟩



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