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Reconstruction-Free Compressive Vision for Surveillance Applications (Synthesis Lectures on Signal Processing) - Tapa blanda
- EditorialSpringer
- Año de publicación2019
- ISBN 10 3031014138
- ISBN 13 9783031014130
- EncuadernaciónTapa blanda
- Número de páginas104
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Reconstruction-Free Compressive Vision for Surveillance Applications (Synthesis Lectures on Signal Processing)
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Springer
(2019)
ISBN 10: 3031014138
ISBN 13: 9783031014130
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Descripción Condición: New. 1st edition NO-PA16APR2015-KAP. Nº de ref. del artículo: 26394683460
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Reconstruction-Free Compressive Vision for Surveillance Applications
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Springer International Publishing Mai 2019
(2019)
ISBN 10: 3031014138
ISBN 13: 9783031014130
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Descripción Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Compressed sensing (CS) allows signals and images to be reliably inferred from undersampled measurements. Exploiting CS allows the creation of new types of high-performance sensors including infrared cameras and magnetic resonance imaging systems. Advances in computer vision and deep learning have enabled new applications of automated systems. In this book, we introduce reconstruction-free compressive vision, where image processing and computer vision algorithms are embedded directly in the compressive domain, without the need for first reconstructing the measurements into images or video. Reconstruction of CS images is computationally expensive and adds to system complexity. Therefore, reconstruction-free compressive vision is an appealing alternative particularly for power-aware systems and bandwidth-limited applications that do not have on-board post-processing computational capabilities. Engineers must balance maintaining algorithm performance while minimizing both the number of measurements needed and the computational requirements of the algorithms. Our study explores the intersection of compressed sensing and computer vision, with the focus on applications in surveillance and autonomous navigation. Other applications are also discussed at the end and a comprehensive list of references including survey papers are given for further reading. 104 pp. Englisch. Nº de ref. del artículo: 9783031014130
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Reconstruction-Free Compressive Vision for Surveillance Applications (Synthesis Lectures on Signal Processing)
Publicado por
Springer
(2019)
ISBN 10: 3031014138
ISBN 13: 9783031014130
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Descripción Condición: New. Print on Demand. Nº de ref. del artículo: 401726363
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Reconstruction-Free Compressive Vision for Surveillance Applications
Publicado por
Springer International Publishing
(2019)
ISBN 10: 3031014138
ISBN 13: 9783031014130
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Descripción Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Compressed sensing (CS) allows signals and images to be reliably inferred from undersampled measurements. Exploiting CS allows the creation of new types of high-performance sensors including infrared cameras and magnetic resonance imaging systems. Advances in computer vision and deep learning have enabled new applications of automated systems. In this book, we introduce reconstruction-free compressive vision, where image processing and computer vision algorithms are embedded directly in the compressive domain, without the need for first reconstructing the measurements into images or video. Reconstruction of CS images is computationally expensive and adds to system complexity. Therefore, reconstruction-free compressive vision is an appealing alternative particularly for power-aware systems and bandwidth-limited applications that do not have on-board post-processing computational capabilities. Engineers must balance maintaining algorithm performance while minimizing both the number of measurements needed and the computational requirements of the algorithms. Our study explores the intersection of compressed sensing and computer vision, with the focus on applications in surveillance and autonomous navigation. Other applications are also discussed at the end and a comprehensive list of references including survey papers are given for further reading. Nº de ref. del artículo: 9783031014130
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Reconstruction-Free Compressive Vision for Surveillance Applications
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Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer
(2019)
ISBN 10: 3031014138
ISBN 13: 9783031014130
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Descripción Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Compressed sensing (CS) allows signals and images to be reliably inferred from undersampled measurements. Exploiting CS allows the creation of new types of high-performance sensors including infrared cameras and magnetic resonance imaging systems. Advances . Nº de ref. del artículo: 608129585
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