000943983 000__ 05125cam\a2200601Ia\4500 000943983 001__ 943983 000943983 005__ 20230306152349.0 000943983 006__ m\\\\\o\\d\\\\\\\\ 000943983 007__ cr\un\nnnunnun 000943983 008__ 200919s2020\\\\sz\\\\\\ob\\\\001\0\eng\d 000943983 019__ $$a1195497828$$a1197837700$$a1198379601 000943983 020__ $$a9783030565770$$q(electronic book) 000943983 020__ $$a3030565777$$q(electronic book) 000943983 020__ $$z9783030565763 000943983 020__ $$z3030565769 000943983 0247_ $$a10.1007/978-3-030-56577-0$$2doi 000943983 0248_ $$a10.1007/978-3-030-56 000943983 035__ $$aSP(OCoLC)on1197547860 000943983 035__ $$aSP(OCoLC)1197547860$$z(OCoLC)1195497828$$z(OCoLC)1197837700$$z(OCoLC)1198379601 000943983 040__ $$aEBLCP$$beng$$cEBLCP$$dLQU$$dUPM$$dGW5XE$$dYDX 000943983 049__ $$aISEA 000943983 050_4 $$aTA1634 000943983 08204 $$a006.3/7$$223 000943983 08204 $$a006.6$$223 000943983 1001_ $$aIkeuchi, Katsushi. 000943983 24510 $$aActive lighting and its application for computer vision :$$b40 years of history of active lighting techniques /$$cKatsushi Ikeuchi, Yasuyuki Matsushita, Ryusuke Sagawa, Hiroshi Kawasaki, Yasuhiro Mukaigawa, Ryo Furukawa, Daisuke Miyazaki. 000943983 260__ $$aCham :$$bSpringer,$$c2020. 000943983 300__ $$a1 online resource (309 pages). 000943983 336__ $$atext$$btxt$$2rdacontent 000943983 337__ $$acomputer$$bc$$2rdamedia 000943983 338__ $$aonline resource$$bcr$$2rdacarrier 000943983 4901_ $$aAdvances in Computer Vision and Pattern Recognition 000943983 504__ $$aIncludes bibliographical references and index. 000943983 506__ $$aAccess limited to authorized users. 000943983 520__ $$aComputer 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. 000943983 588__ $$aDescription based on print version record. 000943983 650_0 $$aComputer vision. 000943983 650_0 $$aOptical data processing. 000943983 650_0 $$aRobotics. 000943983 650_0 $$aAutomation. 000943983 650_0 $$aMachine learning. 000943983 7001_ $$aMatsushita, Yasuyuki. 000943983 7001_ $$aSagawa, Ryusuke. 000943983 7001_ $$aKawasaki, Hiroshi. 000943983 7001_ $$aMukaigawa, Yasuhiro. 000943983 7001_ $$aFurukawa, Ryo. 000943983 7001_ $$aMiyazaki, Daisuke. 000943983 77608 $$iPrint version:$$aIkeuchi, Katsushi$$tActive Lighting and Its Application for Computer Vision : 40 Years of History of Active Lighting Techniques$$dCham : Springer International Publishing AG,c2020$$z9783030565763 000943983 830_0 $$aAdvances in computer vision and pattern recognition. 000943983 852__ $$bebk 000943983 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=https://dx.doi.org/10.1007/978-3-030-56577-0$$zOnline Access 000943983 909CO $$ooai:library.usi.edu:943983$$pGLOBAL_SET 000943983 980__ $$aEBOOK 000943983 980__ $$aBIB 000943983 982__ $$aEbook 000943983 983__ $$aOnline 000943983 994__ $$a92$$bISE