All Weather Robot Vision
Tian, Jiandong
All Weather Robot Vision by Jiandong Tian - 1st edition 2022 - 1 recurso en línea (X, 311 páginas) 191 ilustraciones, 184 ilustraciones a color - Research on Intelligent Manufacturing 2523-3394 .
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. .
9789811664298
10.1007/978-981-16-6429-8 doi
Visión artificial (Robótica)
Inteligencia artificial
TJ211.3 / 2022 EB
All Weather Robot Vision by Jiandong Tian - 1st edition 2022 - 1 recurso en línea (X, 311 páginas) 191 ilustraciones, 184 ilustraciones a color - Research on Intelligent Manufacturing 2523-3394 .
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. .
9789811664298
10.1007/978-981-16-6429-8 doi
Visión artificial (Robótica)
Inteligencia artificial
TJ211.3 / 2022 EB