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Synopsis
This practical text offers researchers and software engineers a thorough understanding of how core low-level building blocks of machine perception systems are implemented. It includes in-depth coverage of state-of-the-art perception algorithms and experiments.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Présentation de l'éditeur
This practical text offers researchers and software engineers a thorough understanding of how core low-level building blocks of machine perception systems are implemented. It includes in-depth coverage of state-of-the-art perception algorithms and experiments.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Augmented Vision Perception in Infrared (eng)
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Augmented Vision Perception in Infrared: Algorithms and Applied Systems (Advances in Computer Vision and Pattern Recognition)
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Augmented Vision Perception in Infrared
Edité par
Springer London Nov 2014, 2014
ISBN 10 : 1447156978
ISBN 13 : 9781447156970
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Throughout much of machine vision's early years the infrared imagery has suffered from return on investment despite its advantages over visual counterparts. Recently, the scal momentum has switched in favor of both manufacturers and practitioners of infrared technology as a result of today's rising security and safety challenges and advances in thermographic sensors and their continuous drop in costs. This yielded a great impetus in achieving ever better performance in remote surveillance, object recognition, guidance, noncontact medical measurements, and more. The purpose of this book is to draw attention to recent successful efforts made on merging computer vision applications (nonmilitary only) and nonvisual imagery, as well as to ll in the need in the literature for an up-to-date convenient reference on machine vision and infrared technologies. Augmented Perception in Infrared provides a comprehensive review of recent deployment of infrared sensors in modern applications of computer vision, along with in-depth description of the world's best machine vision algorithms and intel- gent analytics. Its topics encompass many disciplines of machine vision, including remote sensing, automatic target detection and recognition, background modeling and image segmentation, object tracking, face and facial expression recognition, - variant shape characterization, disparate sensors fusion, noncontact physiological measurements, night vision, and target classi cation. Its application scope includes homeland security, public transportation, surveillance, medical, and military. Mo- over, this book emphasizes the merging of the aforementioned machine perception applications and nonvisual imaging in intensi ed, near infrared, thermal infrared, laser, polarimetric, and hyperspectral bands. 500 pp. Englisch. N° de réf. du vendeur 9781447156970
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Augmented Vision Perception in Infrared
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Augmented Vision Perception in Infrared
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Augmented Vision Perception in Infrared
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Augmented Vision Perception in Infrared | Algorithms and Applied Systems
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Taschenbuch. Etat : Neu. Augmented Vision Perception in Infrared | Algorithms and Applied Systems | Riad I. Hammoud | Taschenbuch | Advances in Computer Vision and Pattern Recognition | xxvi | Englisch | 2014 | Springer | EAN 9781447156970 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 105029075
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Augmented Vision Perception in Infrared
Edité par
Springer London, Springer Nov 2014, 2014
ISBN 10 : 1447156978
ISBN 13 : 9781447156970
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Throughout much of machine vision¿s early years the infrared imagery has suffered from return on investment despite its advantages over visual counterparts. Recently, the scal momentum has switched in favor of both manufacturers and practitioners of infrared technology as a result of today¿s rising security and safety challenges and advances in thermographic sensors and their continuous drop in costs. This yielded a great impetus in achieving ever better performance in remote surveillance, object recognition, guidance, noncontact medical measurements, and more. The purpose of this book is to draw attention to recent successful efforts made on merging computer vision applications (nonmilitary only) and nonvisual imagery, as well as to ll in the need in the literature for an up-to-date convenient reference on machine vision and infrared technologies. Augmented Perception in Infrared provides a comprehensive review of recent deployment of infrared sensors in modern applications of computer vision, along with in-depth description of the world¿s best machine vision algorithms and intel- gent analytics. Its topics encompass many disciplines of machine vision, including remote sensing, automatic target detection and recognition, background modeling and image segmentation, object tracking, face and facial expression recognition, - variant shape characterization, disparate sensors fusion, noncontact physiological measurements, night vision, and target classi cation. Its application scope includes homeland security, public transportation, surveillance, medical, and military. Mo- over, this book emphasizes the merging of the aforementioned machine perception applications and nonvisual imaging in intensi ed, near infrared, thermal infrared, laser, polarimetric, and hyperspectral bands.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 500 pp. Englisch. N° de réf. du vendeur 9781447156970
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Augmented Vision Perception in Infrared : Algorithms and Applied Systems
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Throughout much of machine vision's early years the infrared imagery has suffered from return on investment despite its advantages over visual counterparts. Recently, the scal momentum has switched in favor of both manufacturers and practitioners of infrared technology as a result of today's rising security and safety challenges and advances in thermographic sensors and their continuous drop in costs. This yielded a great impetus in achieving ever better performance in remote surveillance, object recognition, guidance, noncontact medical measurements, and more. The purpose of this book is to draw attention to recent successful efforts made on merging computer vision applications (nonmilitary only) and nonvisual imagery, as well as to ll in the need in the literature for an up-to-date convenient reference on machine vision and infrared technologies. Augmented Perception in Infrared provides a comprehensive review of recent deployment of infrared sensors in modern applications of computer vision, along with in-depth description of the world's best machine vision algorithms and intel- gent analytics. Its topics encompass many disciplines of machine vision, including remote sensing, automatic target detection and recognition, background modeling and image segmentation, object tracking, face and facial expression recognition, - variant shape characterization, disparate sensors fusion, noncontact physiological measurements, night vision, and target classi cation. Its application scope includes homeland security, public transportation, surveillance, medical, and military. Mo- over, this book emphasizes the merging of the aforementioned machine perception applications and nonvisual imaging in intensi ed, near infrared, thermal infrared, laser, polarimetric, and hyperspectral bands. N° de réf. du vendeur 9781447156970
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Augmented Vision Perception in Infrared: Algorithms and Applied Systems (Advances in Computer Vision and Pattern Recognition)
Edité par
Springer, 2014
ISBN 10 : 1447156978
ISBN 13 : 9781447156970
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