On the recovery of shape and reflectance from a single multispectral image

Sejuti Rahman*, Antonio Robles-Kelly

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    This paper presents a method for recovering the reflectance and shape of a surface from a single hyper spectral image. To do this, we depart from a reflectance model based on a physical interpretation of the reflection process where the geometry of the scene and the properties of the object surface describe the image formation process. With the model in hand, we propose a solution to the recovery of the reflection parameters via an optimisation approach that aims at recovering both the surface normals and the reflectance. This, in turn, allows for the application of the method by Frankot and Chellappa [8] so as to recover the surface depth at each pixel. We demonstrate the utility of our method for the recovery of both reflectance and surface depth on synthetic and real world images.

    Original languageEnglish
    Title of host publicationProceedings - 2011 International Conference on Digital Image Computing
    Subtitle of host publicationTechniques and Applications, DICTA 2011
    Pages572-578
    Number of pages7
    DOIs
    Publication statusPublished - 2011
    Event2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011 - Noosa, QLD, Australia
    Duration: 6 Dec 20118 Dec 2011

    Publication series

    NameProceedings - 2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011

    Conference

    Conference2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011
    Country/TerritoryAustralia
    CityNoosa, QLD
    Period6/12/118/12/11

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