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020 _a9789811664298
024 7 _a10.1007/978-981-16-6429-8
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTJ211.3
_b2022 EB
100 1 _aTian, Jiandong
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9686065
245 1 0 _aAll Weather Robot Vision
_cby Jiandong Tian
250 _a1st edition 2022
264 1 _aSingapore
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (X, 311 páginas)
_b191 ilustraciones, 184 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aResearch on Intelligent Manufacturing
_x2523-3394
505 0 _aIntroduction -- 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.
520 _aComplex 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. .
988 _aSpringer_Robotics_2022
650 7 _2embne
_9668436
_aVisión artificial (Robótica)
650 7 _2embne
_aInteligencia artificial
_9413115
776 0 8 _iPrinted edition:
_z9789811664281
776 0 8 _iPrinted edition:
_z9789811664304
776 0 8 _iPrinted edition:
_z9789811664311
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-6429-8
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b01/2023
_dz
_eIG
_zSI