Recent Advances in Computer Vision Applications Using Parallel Processing
Recent Advances in Computer Vision Applications Using Parallel Processing [electronic resource] /
edited by Khalid M. Hosny, Ahmad Salah.
- 1st ed. 2023.
- XI, 119 p. 58 illus., 46 illus. in color. online resource.
- Studies in Computational Intelligence, 1073 1860-9503 ; .
- Studies in Computational Intelligence, 1073 .
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.
9783031187353
Computational intelligence.
Computer vision.
Computational Intelligence.
Computer Vision.
Q342
006.3
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.
9783031187353
Computational intelligence.
Computer vision.
Computational Intelligence.
Computer Vision.
Q342
006.3
