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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.
