Recent Advances in Computer Vision Applications Using Parallel Processing [electronic resource] / edited by Khalid M. Hosny, Ahmad Salah.

Colaborador(es): Hosny, Khalid M [editor.] | Salah, Ahmad [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Studies in Computational Intelligence ; 1073Editor: Cham : Springer International Publishing : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: XI, 119 p. 58 illus., 46 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031187353Tema(s): Computational intelligence | Computer vision | Computational Intelligence | Computer VisionFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q342Recursos en línea: Libro electrónicoTexto
Contenidos:
A Generic Multicore CPU Parallel Implementation of Fractional Order Digital Image Moment -- Computer-Aided Road Inspection: Systems and Algorithms -- Computer Stereo Vision for Autonomous Driving -- A Survey on GPU-based Visual Trackers -- Accelerating the Process of Copy-Move Forgery Detection using Multi-core CPUs Parallel Architecture -- Parallel Image Processing Applications using Raspberry Pi.
En: Springer Nature eBookResumen: This comprehensive book is primarily intended for researchers, computer vision specialists, and high-performance computing specialists who are interested in parallelizing computer vision techniques for the sake of accelerating the run-time of computer vision methods. This book covers different penalization methods on different parallel architectures such as multi-core CPUs and GPUs. It is also a valuable reference resource for researchers at all levels (e.g., undergraduate and postgraduate) who are seeking real-life examples of speeding up the computer vision methods' run-time.
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Acceso multiusuario

A Generic Multicore CPU Parallel Implementation of Fractional Order Digital Image Moment -- Computer-Aided Road Inspection: Systems and Algorithms -- Computer Stereo Vision for Autonomous Driving -- A Survey on GPU-based Visual Trackers -- Accelerating the Process of Copy-Move Forgery Detection using Multi-core CPUs Parallel Architecture -- Parallel Image Processing Applications using Raspberry Pi.

This comprehensive book is primarily intended for researchers, computer vision specialists, and high-performance computing specialists who are interested in parallelizing computer vision techniques for the sake of accelerating the run-time of computer vision methods. This book covers different penalization methods on different parallel architectures such as multi-core CPUs and GPUs. It is also a valuable reference resource for researchers at all levels (e.g., undergraduate and postgraduate) who are seeking real-life examples of speeding up the computer vision methods' run-time.

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