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All weather robot vision

Tian, Jiandong.

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All weather robot vision

Record Type:	Electronic resources : Monograph/item
Title/Author:	All weather robot vision/ by Jiandong Tian.
Author:	Tian, Jiandong.
Published:	Singapore :Springer Singapore : : 2022.,
Description:	x, 311 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Robot vision. -
Online resource:	https://doi.org/10.1007/978-981-16-6429-8
ISBN:	9789811664298

All weather robot vision
Tian, Jiandong.

All weather robot vision[electronic resource] /by Jiandong Tian. - Singapore :Springer Singapore :2022. - x, 311 p. :ill., digital ;24 cm. - Research on intelligent manufacturing,2523-3394. - Research on intelligent manufacturing..

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.

ISBN: 9789811664298

Standard No.: 10.1007/978-981-16-6429-8doiSubjects--Topical Terms:

674122
Robot vision.

LC Class. No.: TJ211.3 / .T53 2022

Dewey Class. No.: 629.892637

All weather robot vision
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300 $a x, 311 p. : $b ill., digital ; $c 24 cm.
490 1 $a Research on intelligent manufacturing, $x 2523-3394
505 0 $a 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.
520 $a 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.
650 0 $a Robot vision. $3 674122
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650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 890871
650 2 4 $a Mechanical Engineering. $3 891038
650 2 4 $a Signal, Image and Speech Processing. $3 891073
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950 $a Intelligent Technologies and Robotics (SpringerNature-42732)