Annotation sémantique 2D/3D d'images spatialisées pour la documentation et l'analyse d'objets patrimoniaux

Abstract : In the field of architecture and historic preservation , the information and communication technologies enable the acquisition of large amounts of data introducing analysis media for different purposes and at different levels of details ( photographs, point cloud, scientific imaging, ...). The organization and the structure of these resources is now a major problem for the description, the analysis and the understanding of cultural heritage objects. However the existing solutions in semantic annotations on images or on 3D model are insufficient, especially in the linking of different analysis media.This thesis proposes an approach for conducting annotations on different two-dimensional media while allowing the propagation of these annotations between different representations (2D or 3D) of the object. The objective is to identify solutions to correlate (from a spatial, temporal and semantic point of view) sets of annotations within sets of images. Thus, the system is based on the principle of data spatialization for establishing a relationship between the 3D representations, incorporating all the geometric complexity of the object and therefore to the metric information extraction, and 2D representations of object. The approach seeks to the establishment of an information continuity from the image acquisition to the construction of 3D representations semantically enhanced by incorporating multi-media and multi-temporal aspects. This work resulted in the definition and the development of a set of software modules that can be used by specialists of conservation of architectural heritage as by the general public.
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Adeline Manuel. Annotation sémantique 2D/3D d'images spatialisées pour la documentation et l'analyse d'objets patrimoniaux. Génie des procédés. Ecole nationale supérieure d'arts et métiers - ENSAM, 2016. Français. ⟨NNT : 2016ENAM0009⟩. ⟨tel-01304776⟩

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