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Recent Advances in Computer Vision Applications Using Parallel Processing 2023 ed. [Minkštas viršelis]

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  • Formatas: Paperback / softback, 119 pages, aukštis x plotis: 235x155 mm, weight: 213 g, 46 Illustrations, color; 12 Illustrations, black and white; XI, 119 p. 58 illus., 46 illus. in color., 1 Paperback / softback
  • Serija: Studies in Computational Intelligence 1073
  • Išleidimo metai: 24-Jan-2024
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3031187377
  • ISBN-13: 9783031187377
Kitos knygos pagal šią temą:
Recent Advances in Computer Vision Applications Using Parallel Processing 2023 ed.Didesnis paveikslėlis
  • Formatas: Paperback / softback, 119 pages, aukštis x plotis: 235x155 mm, weight: 213 g, 46 Illustrations, color; 12 Illustrations, black and white; XI, 119 p. 58 illus., 46 illus. in color., 1 Paperback / softback
  • Serija: Studies in Computational Intelligence 1073
  • Išleidimo metai: 24-Jan-2024
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3031187377
  • ISBN-13: 9783031187377
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9783031187377.html
Raktažodžiai:

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.

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.