Since a large number of vision applications rely on the mapping between 3D scenes and their corresponding 2D camera images, an important practical consideration for researchers is, what are the major determinants of camera calibration accuracy and what accuracy can be achieved within the practical limits of their environments. In response, we present a thorough study investigating the effects of training data quantity, measurement error, pixel coordinate noise, and the choice of camera model, on camera calibration results. Through this effort, we seek to determine whether expensive, elaborate setups are necessary, or indeed, beneficial, to camera calibration, and whether a high complexity camera model leads to improved accuracy. The results are first provided for a simulated camera system and then verified through carefully controlled experiments using real-world measurements.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Requirements for Camera Calibration: Must Accuracy Come with a High Price?


    Contributors:


    Publication date :

    2005-01-01


    Size :

    245513 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Secretaries must come to grips

    Online Contents | 1994


    Accuracy requirements in off-line array calibration

    Porat, B. / Friedlander, B. | IEEE | 1997



    Analysis of Camera Calibration with Respect to Measurement Accuracy

    Semeniuta, Oleksandr | BASE | 2016

    Free access