MURAL - Maynooth University Research Archive Library



    Recovering quasi-real occlusion-free textures for facade models by exploiting fusion of image and laser street data and image inpainting


    Hammoudi, Karim, Dornaika, Fadi, Soheilian, Bahman, Vallet, Bruno, McDonald, John and Paparoditis, Nicolas (2012) Recovering quasi-real occlusion-free textures for facade models by exploiting fusion of image and laser street data and image inpainting. In: 13th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), 2012. IEEE, pp. 1-4. ISBN 9781467307918

    [thumbnail of JM-Recovering-2012.pdf]
    Preview
    Text
    JM-Recovering-2012.pdf

    Download (6MB) | Preview

    Abstract

    In this paper we present relevant results for the texturing of 3D urban facade models by exploiting the fusion of terrestrial multi-source data acquired by a Mobile Mapping System (MMS) and image inpainting. Current 3D urban facade models are often textured by using images that contain parts of urban objects that belong to the street. These urban objects represent in this case occlusions since they are located between the acquisition system and the facades. We show the potential use of georeferenced images and 3D point clouds that are acquired at street level by the MMS in generating occlusion-free facade textures. We describe a methodology for reconstructing quasi-real textures of facades that are highly occluded by wide frontal objects.
    Item Type: Book Section
    Keywords: image texture image fusion; image reconstruction;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 8318
    Identification Number: 10.1109/WIAMIS.2012.6226763
    Depositing User: John McDonald
    Date Deposited: 13 Jun 2017 09:05
    Publisher: IEEE
    Refereed: Yes
    Funders: Science Foundation Ireland
    Related URLs:
    URI: https://mural.maynoothuniversity.ie/id/eprint/8318
    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

    Repository Staff Only (login required)

    Item control page
    Item control page

    Downloads

    Downloads per month over past year

    Origin of downloads