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    Texture re-rendering tool for re-mixing indoor scene images

    Access Status
    Fulltext not available
    Authors
    Liu, T.
    Tai, C.
    Zhu, Maggie
    Bagchi, J.
    Allebach, J.
    Date
    2017
    Type
    Conference Paper
    
    Metadata
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    Citation
    Liu, T. and Tai, C. and Zhu, M. and Bagchi, J. and Allebach, J. 2017. Texture re-rendering tool for re-mixing indoor scene images, pp. 86-92.
    Source Title
    IS and T International Symposium on Electronic Imaging Science and Technology
    DOI
    10.2352/ISSN.2470-1173.2017.10.IMAWM-177
    ISSN
    2470-1173
    School
    School of Public Health
    URI
    http://hdl.handle.net/20.500.11937/70209
    Collection
    • Curtin Research Publications
    Abstract

    © 2017, Society for Imaging Science and Technology. We propose a novel tool for re-rendering objects in indoor scene images with new textures. It aims to address the problem of too much manual work of positioning and alignment when applying new texture onto an object surface in an indoor scene image. The algorithm of the tool is based on establishing 2D projective transformation between texture images and planar object surfaces in scene images. In order to find the transformation, we use a sampled rectangular texture pattern from a large synthesized planar texture and a planar quadrangle corresponding to object surface orientation estimation, which is generated by a geometric orientation hypothesis framework. The tool also puts effort in adjusting the scaling and reducing artifacts for re-rendered textures. We present the re-rendering results for ceilings, walls, floors, etc. that naturally correspond to room geometry layout.

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