Estimation of projector defocus blur by extracting texture rich region in projection image

Yuji Oyamada*, Hideo Saito

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    To use a projector anytime anywhere, a lot of projector-camera based approaches have been proposed. Focal correction technique, one of them, reduces the effect of defocus blur which occurs when a screen is located out of projector's depth-of-field. To achieve focal correction, we have to estimate the degree of defocus blur on the displayed images. Some previous methods use any special pattern images. A method which needs no special image has been proposed, however, this method can't estimate at less-textured or already blurred region in the projection image. In this paper, we propose a novel method for estimating PSF (Point Spread Function) without projecting any special pattern images. To prevent such an estimation error, we search and extract well-suited regions to estimate PSF in the projection image and estimate the PSF at extracted region. Experimental results show that our method can prevent PSF estimation error without any special images.

    Original languageEnglish
    Title of host publication16th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG'2008 - In Co-operation with EUROGRAPHICS, Full Papers
    Pages153-160
    Number of pages8
    Publication statusPublished - 2008
    Event16th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2008, WSCG'2008 - Plzen
    Duration: 2008 Feb 42008 Feb 7

    Other

    Other16th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2008, WSCG'2008
    CityPlzen
    Period08/2/408/2/7

    Keywords

    • Defocus blur estimation
    • Image enhancement
    • Pre-correction
    • Projector defocus
    • Projector-camera system

    ASJC Scopus subject areas

    • Computer Graphics and Computer-Aided Design
    • Computer Vision and Pattern Recognition

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