Towards an electronic orientation table: using features extracted from the image to register Digital Elevation Model

Abstract : Looking at a countryside, human has no difficulty to identify salient information such as skyline in case of benign weather. At the same time, during the last decade, smartphones are more and more abundant in our daily life with always new efficient proposed services but augmented reality systems suffer from a lack of performance to offer a well adapted tool in this context. The aim of this paper is then to propose a new approach coupling image processing and Digital Elevation Model (DEM) exploitation to remedy that shortcoming. The proposed method first discriminates skyline and non-skyline pixels and then introduces a realtime matching between previously extracted map and DEM. In order to evaluate objectively each step and our finalized tool, a new tagged dataset with ground-truth is created and will benefit the entire scientific community.
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Communication dans un congrès
International Conference on Computer Vision Theory and Applications (Visapp 2017), Feb 2017, Porto, Portugal
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Contributeur : Damien Muselet <>
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Dernière modification le : vendredi 10 novembre 2017 - 01:20:19
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  • HAL Id : ujm-01486568, version 1

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Léo Nicolle, Julien Bonneton, Hubert Konik, Damien Muselet, Laure Tougne. Towards an electronic orientation table: using features extracted from the image to register Digital Elevation Model. International Conference on Computer Vision Theory and Applications (Visapp 2017), Feb 2017, Porto, Portugal. 〈ujm-01486568〉

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