The majority of consumer quality cameras sold today have CMOS sensors with rolling shutters. In a rolling shutter camera, images are read out row by row, and thus each row is exposed during a different time interval. A rolling-shutter exposure causes geometric image distortions when either the camera or the scene is moving, and this causes state-of-the-art structure and motion algorithms to fail. We demonstrate a novel method for solving the structure and motion problem for rolling-shutter video. The method relies on exploiting the continuity of the camera motion, both between frames, and across a frame. We demonstrate the effectiveness of our method by controlled experiments on real video sequences. We show, both visually and quantitatively, that our method outperforms standard structure and motion, and is more accurate and efficient than a two-step approach, doing image rectification and structure and motion.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Structure and Motion Estimation from Rolling Shutter Video


    Beteiligte:
    Hedborg, Johan (Autor:in) / Ringaby, Erik (Autor:in) / Forssén, Per-Erik (Autor:in) / Felsberg, Michael (Autor:in)

    Erscheinungsdatum :

    2011-01-01



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



    Rolling shutter motion and depth sensing

    BECKER GABOR SZEDO / CUI CHENGWU LUKE / NAMBIRAJAN ANIRUDTH | Europäisches Patentamt | 2020

    Freier Zugriff

    ROLLING SHUTTER COMPENSATION

    BALDAN GIANCARLO | Europäisches Patentamt | 2024

    Freier Zugriff


    SIMULATING SHUTTER ROLLING EFFECT

    ATSMON DAN / GOLDNER GUY / TSAFRIR ILAN | Europäisches Patentamt | 2024

    Freier Zugriff

    SELECTIVE ILLUMINATION ROLLING SHUTTER IMAGING SYSTEM

    DUGUAY RYAN T | Europäisches Patentamt | 2021

    Freier Zugriff