We present a new framework for correcting multiperspective distortions using collineations. A collineation describes the transformation between the images of a camera due to changes in sampling and image plane selection. We show that image distortions in many previous models of cameras can be effectively reduced via proper collineations. To correct distortions in a specific multiperspective camera, we develop an interactive system that allows users to select feature rays from the camera and position them at the desirable pixels. Our system then computes the optimal collineation to match the projections of these rays with the corresponding pixels. Experiments demonstrate that our system robustly corrects complex distortions without acquiring the scene geometry, and the resulting images appear nearly undistorted.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Multiperspective Distortion Correction Using Collineations


    Contributors:
    Yagi, Yasushi (editor) / Kang, Sing Bing (editor) / Kweon, In So (editor) / Zha, Hongbin (editor) / Ding, Yuanyuan (author) / Yu, Jingyi (author)

    Conference:

    Asian Conference on Computer Vision ; 2007 ; Tokyo, Japan November 18, 2007 - November 22, 2007



    Publication date :

    2007-01-01


    Size :

    11 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Multiperspective autostereoscopic display

    Little, G.R. / Gustafson, S.C. / Nikolaou, V.E. | Tema Archive | 1994


    Multiperspective Projection and Collineation

    Yu, J. / McMillan, L. / IEEE | British Library Conference Proceedings | 2005


    Multiperspective projection and collineation

    Jingyi Yu, / McMillan, L. | IEEE | 2005


    Modelling reflections via multiperspective imaging

    Jingyi Yu, / McMillan, L. | IEEE | 2005


    Self-organized ridesharing: Multiperspective annotated review

    Shoshany Tavory, Sharon / Trop, Tamar / Shiftan, Yoram | Taylor & Francis Verlag | 2020