Introduction -- Robot vision feasible calculations for outdoor illumination and reflectance -- Shadow modelling and intrinsic lighting decomposition -- Shadow/highlight detection and removal -- Rain, snowflake and fog removal -- Underwater scattering modeling and removal -- Discussion and Conclusions.

    Complex illumination and meteorological conditions can significantly limit the robustness of robotic vision systems. This book focuses on image pre-processing for robot vision in complex illumination and dynamic weather conditions. It systematically covers cutting-edge models and algorithms, approaching them from a novel viewpoint based on studying the atmospheric physics and imaging mechanism. It provides valuable insights and practical methods such as illumination calculations, scattering modeling, shadow/highlight detection and removal, intrinsic image derivation, and rain/snow/fog removal technologies that will enable robots to be effective in diverse lighting and weather conditions, i.e., ensure their all-weather operating capacity. As such, the book offers a valuable resource for researchers, graduate students and engineers in the fields of robot engineering and computer science. .


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    Title :

    All weather robot vision


    Contributors:


    Publication date :

    2022


    Size :

    x, 311 Seiten


    Remarks:

    Illustrationen, Diagramme
    Literaturangaben



    Type of media :

    Book


    Type of material :

    Print


    Language :

    English



    Classification :

    DDC:    629.8



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