Simultaneous photometric invariance and shape recovery

Cong Phuoc Huynh, Antonio Robles-Kelly

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

    6 Citations (Scopus)

    Abstract

    In this paper, we identify the constraints under which the generally ill-posed problem of simultaneous recovery of surface shape and its photometric invariants can be rendered tractable. We examine the cases where a single or more images are acquired using different lighting directions with known illuminant power. Given these conditions, we state the constraints upon which the recovery of the surface geometry and its photometric parameters can be estimated. With these constraints, we then show how the recovery process may be formulated as an optimisation algorithm which aims to fit the reflectance models under study to the image reflectance. The approach presented here is general and can be applied to a family of reflectance models that are based on the Fresnel reflection theory. Thus, we provide a theoretical and computational background for recovering shape, material index of refraction and microscopic roughness from multi-spectral images.

    Original languageEnglish
    Title of host publication2009 IEEE 12th International Conference on Computer Vision, ICCV 2009
    Pages1757-1764
    Number of pages8
    DOIs
    Publication statusPublished - 2009
    Event12th International Conference on Computer Vision, ICCV 2009 - Kyoto, Japan
    Duration: 29 Sept 20092 Oct 2009

    Publication series

    NameProceedings of the IEEE International Conference on Computer Vision

    Conference

    Conference12th International Conference on Computer Vision, ICCV 2009
    Country/TerritoryJapan
    CityKyoto
    Period29/09/092/10/09

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