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    A Synergistic Approach for Recovering Occlusion-Free Textured 3D Maps of Urban Facades from Heterogeneous Cartographic Data

    Hammoudi, Karim and Dornaika, Fadi and Soheilian, Bahman and Vallet, Bruno and McDonald, John and Paparoditis, Nicolas (2013) A Synergistic Approach for Recovering Occlusion-Free Textured 3D Maps of Urban Facades from Heterogeneous Cartographic Data. International Journal of Advanced Robotic Systems, 10 (316). ISSN 1729-8806

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    In this paper we present a practical approach for generating an occlusion-free textured 3D map of urban facades by the synergistic use of terrestrial images, 3D point clouds and area-based information. Particularly in dense urban environments, the high presence of urban objects in front of the facades causes significant difficulties for several stages in computational building modeling. Major challenges lie on the one hand in extracting complete 3D facade quadrilateral delimitations and on the other hand in generating occlusion-free facade textures. For these reasons, we describe a straightforward approach for completing and recovering facade geometry and textures by exploiting the data complementarity of terrestrial multi-source imagery and area-based information.

    Item Type: Article
    Additional Information: © 2013 Hammoudi et al.; licensee InTech. This is an open access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
    Keywords: Mobile Platform, Optical Sensors, Vision Sensors; Range Sensors; Sensor Fusion; Sensor Data Processing; Terrestrial-based Facade Modeling; Facade Texturing; Virtual Reality;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 8274
    Identification Number:
    Depositing User: John McDonald
    Date Deposited: 01 Jun 2017 16:05
    Journal or Publication Title: International Journal of Advanced Robotic Systems
    Publisher: InTechOpen
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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