Parallel Architectures And Algorithms For Integrated Vision Systems A Practical High-Performance Guide To Real-Time Computer Vision With Scalable Parallel Processing Across Modern Hardware
✔️ Softcover reprint of the original 1st edition, 176 pages Pack: 1
This book explains how parallel architectures and algorithms power real-time computer vision systems. It covers Integrated Vision System (IVS) concepts that span low to high level vision tasks and explains why SIMD-based designs alone can't satisfy IVS needs across modern hardware. It's a practical guide for engineers and researchers working on real-time vision across modern hardware.
✅ Author: Patel, J.H.
✅ Edition: Softcover reprint of the original 1st ed. 1990
✅ Pages: 176
✅ Language: English
✅ Release date: 04-02-2012
✅ Topics: parallel architectures and IVS concepts
💡 What is an integrated vision system and how do parallel architectures boost real-time vision processing? This book provides practical foundations and examples.
- Efficient dataflow across multi-core and GPU hardware
- Scalable parallel algorithms for real-time constraints
- Integrated vision tasks from low to high level explained
- Handy guide for practitioners building IVS applications