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Études et conception d'algorithmes de reconstruction 3D sur tablettes : génération automatique de modèles 3D éditables de bâtiments existants

Abstract : This thesis works consisted to implement algorithmic solutions to reconstruct an editable 3D model of an indoor environment using a tablet equipped with a depth sensor.These works are part of the context of interior renovation. European standards push for energy renovation and 3D modeling of existing buildings. Professional tools using LIDAR-type sensors make it possible to reconstruct high-quality point clouds, but are costly and time-consuming to implement. In addition, it is very difficult to automatically identify the constituents of a building to export a complete editable 3D model.As part of the interior renovation, it is not necessary to have information on the whole building, only the main dimensions and surfaces are necessary. We can then consider completely automating the 3D modeling process.The recent development of depth sensors that can be integrated on tablets, and the improvement of the tablets computation capabilities allows us to consider the adaptation of classical 3D reconstruction algorithms to these supports.During this work, we considered two different 3D reconstruction approaches. The first approach is based on state-of-the-art methods. It consists of generating a 3D mesh of an interior environment in real time on a tablet, then using this 3D mesh to identify the overall structure of the building (walls, doors and windows). The second approach envisaged is to generate a 3D editable model in real time, without passing through an intermediate mesh. In this way much more information is available to be able to detect the structural elements. We have in fact at each given time a complete point cloud as well as the corresponding color image. In a first time we have set up two planar segmentation algorithms in real time. Then, we set up an analysis algorithm of these plans to identify two identical planes on different captures. We are then able to identify the different walls contained in the captured environment, and we can update their geometric information in real-time.
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  • HAL Id : tel-01963647, version 2

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Adrien Arnaud. Études et conception d'algorithmes de reconstruction 3D sur tablettes : génération automatique de modèles 3D éditables de bâtiments existants. Vision par ordinateur et reconnaissance de formes [cs.CV]. Université Paris-Saclay, 2018. Français. ⟨NNT : 2018SACLS512⟩. ⟨tel-01963647v2⟩

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