00919nam a22002411i 450099100366716970753620040525103052.0040802s1957 fr |||||||||||||||||fre b13108943-39ule_instARCHE-106155ExLBiblioteca InterfacoltàitaA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l.843.3Saulnier, Verdun Louis153518Le dessein de Rabelais /V. L. SaulnierParis :Société d'édition d'enseignement supérieur,1957219 p. ;18 cmRabelais, François.b1310894302-04-1405-08-04991003667169707536LE002 Fondo Giudici L 42712002000321046le002C. 1-E0.00-no 00000.i1374355705-08-04Dessein de Rabelais307476UNISALENTOle00205-08-04ma -frefr 3105015nam 22006735 450 991086316680332120251113183035.09783030565770303056577710.1007/978-3-030-56577-0(CKB)4100000011435669(DE-He213)978-3-030-56577-0(MiAaPQ)EBC6346687(PPN)250221128(EXLCZ)99410000001143566920200907d2020 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierActive Lighting and Its Application for Computer Vision 40 Years of History of Active Lighting Techniques /by Katsushi Ikeuchi, Yasuyuki Matsushita, Ryusuke Sagawa, Hiroshi Kawasaki, Yasuhiro Mukaigawa, Ryo Furukawa, Daisuke Miyazaki1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (XIV, 308 p. 251 illus., 167 illus. in color.) Advances in Computer Vision and Pattern Recognition,2191-65949783030565763 3030565769 Computer vision entails both passive and active illumination techniques. Whereas passive techniques observe the scene statically and analyse it as is, by contrast active techniques give the scene some actions and try to facilitate the analysis. In particular, active illumination techniques project specific light, for which the characteristics are known beforehand, to a target scene to enable stable and accurate analysis of the scene. Notably, traditional passive techniques have a fundamental limitation: The external world surrounding us is three-dimensional; the image projected on a retina or an imaging device is two-dimensional (That is, reduction of one dimension has occurred). Active illumination techniques compensate for the dimensional reduction by actively controlling the illumination. The demand for reliable vision sensors is rapidly increasing in many application areas, such as robotics and medical image analysis. This book explains this new endeavour to explore the augmentation of reduced dimensions in computer vision. This pivotal volume comprehensively examines basic optics concepts, available active-lighting techniques, and various application domains. Primarily aimed at advanced undergraduates and beginning graduates, the book also will serve as a useful guidebook for engineers from fields both in and beyond computer vision. Additionally, the book is suitable as course material for professional technical seminars. The authors are highly experienced researchers and professors from esteemed universities, labs, institutes, and corporations in Japan. Dr. Katsushi Ikeuchi is a Principal Researcher at Microsoft Research Asia, Beijing, China, and an Emeritus Professor of the University of Tokyo. Dr. Hiroshi Kawasaki is a Professor in the Department of Advanced Information Technology and Head of the Computer Vision and Graphics Laboratory at Kyushu University, Fukuoka. Dr. Yasuhiro Mukaigawa is a Professor in the Division of Information Science and Head of the Optical Media Interference Laboratory at Nara Institute of Science and Technology, Ikoma. Dr. Ryusuke Sagawa is a Senior Researcher in the Interactive Robotics Research Group of the Intelligent Systems Research Institute at the National Institute of Advanced Industrial Science and Technology, Tsukuba. Dr. Ryo Furukawa and Dr. Daisuke Miyazaki are Associate Professors in the Image Media Engineering and Computer Graphics Laboratory of the Department of Intelligent Systems at Hiroshima City University. Dr. Yasuyuki Matsushita is a Professor in the Information Science and Technology Department at Osaka University, where he leads a laboratory focusing on computer vision, machine learning, data mining, and information and knowledge processing.Advances in Computer Vision and Pattern Recognition,2191-6594Computer visionInformation visualizationControl engineeringRoboticsAutomationMachine learningComputer VisionData and Information VisualizationControl, Robotics, AutomationMachine LearningComputer vision.Information visualization.Control engineering.Robotics.Automation.Machine learning.Computer Vision.Data and Information Visualization.Control, Robotics, Automation.Machine Learning.006.37Ikeuchi Katsushi922684MiAaPQMiAaPQMiAaPQBOOK9910863166803321Active lighting and its application for computer vision2070497UNINA