Author: Jan Micha BorrmannPublisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
Design and Implementation of an FPGA-based Multi-camera Machine Vision System Using Partial Reconfiguration
Author: Jan Micha BorrmannDesign and Implementation of Real-Time Multi-Sensor Vision Systems
Author: Vladan PopovicPublisher: Springer
ISBN: 331959057X
Category : Technology & Engineering
Languages : en
Pages : 263
Book Description
This book discusses the design of multi-camera systems and their application to fields such as the virtual reality, gaming, film industry, medicine, automotive industry, drones, etc. The authors cover the basics of image formation, algorithms for stitching a panoramic image from multiple cameras, and multiple real-time hardware system architectures, in order to have panoramic videos. Several specific applications of multi-camera systems are presented, such as depth estimation, high dynamic range imaging, and medical imaging.
Exploring the Performances of Partial Reconfiguration in the Context of Image Processing Acceleration on FPGA-based Smart Cameras
Author: El Mehdi AbdaliPublisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
Field-Programmable Gate Array (FPGA) is an efficient architecture for streaminglikeimage processing applications. In such a category of algorithms, the application'sparallelism is expressed in instantiating a subset of hardware resources,needed to perform the desired processing, as soon as the data is acquired.However, since these resources are limited in number, the FPGA capabilitiesof executing larger applications is also limited. The Dynamic andPartial Reconfiguration (DPR) can be a solution to this problem as it offers thepossibility to reuse the FPGA resources inside a region at runtime without affectingthe other regions being executing other computations.This reuse might help reducing several overheads related to acceleratorsimplementation on FPGA (i.e: Energy, Chip size,...). However, the performanceof a DPR-based system is affected by several critical design decisions.These decisions concern mainly the way to partition the FPGA in several executionregions as well as the application's partitioning. Furthermore, the wayof making communication between regions as well as the scheduling strategymay have a significant effect on the global performances.In this context, the thesis aims to explore the possibilities and challenges inusing partial reconfiguration to implement more efficiently image processingalgorithms on FPGA. Moreover, it investigates the prospective capabilities ofsuch technology in applications other than processing, such as communicationsystems.
Multi-Core Computer Vision and Image Processing for Intelligent Applications
Author: S., MohanPublisher: IGI Global
ISBN: 1522508902
Category : Computers
Languages : en
Pages : 312
Book Description
A multicore platform uses distributed or parallel computing in a single computer, and this can be used to assist image processing algorithms in reducing computational complexities. By implementing this novel approach, the performance of imaging, video, and vision algorithms would improve, leading the way for cost-effective devices like intelligent surveillance cameras. Multi-Core Computer Vision and Image Processing for Intelligent Applications is an essential publication outlining the future research opportunities and emerging technologies in the field of image processing, and the ways multi-core processing can further the field. This publication is ideal for policy makers, researchers, technology developers, and students of IT.
Machine Vision Handbook
Author: Bruce G. BatchelorPublisher: Springer
ISBN: 9781849961684
Category : Technology & Engineering
Languages : en
Pages : 0
Book Description
The automation of visual inspection is becoming more and more important in modern industry as a consistent, reliable means of judging the quality of raw materials and manufactured goods . The Machine Vision Handbook equips the reader with the practical details required to engineer integrated mechanical-optical-electronic-software systems. Machine vision is first set in the context of basic information on light, natural vision, colour sensing and optics. The physical apparatus required for mechanized image capture – lenses, cameras, scanners and light sources – are discussed followed by detailed treatment of various image-processing methods including an introduction to the QT image processing system. QT is unique to this book, and provides an example of a practical machine vision system along with extensive libraries of useful commands, functions and images which can be implemented by the reader. The main text of the book is completed by studies of a wide variety of applications of machine vision in inspecting and handling different types of object.
Mathematical and Engineering Methods in Computer Science
Author: Jan KofroňPublisher: Springer
ISBN: 3319298178
Category : Computers
Languages : en
Pages : 166
Book Description
This volume contains the post-conference proceedings of the 10th Doctoral Workshop on Mathematical and Engineering Methods in Computer Science, MEMICS 2015, held in Telč, Czech Republic, in October 2015. The 10 thoroughly revised full papers were carefully selected out of 25 submissions and are presented together with 3 invited papers. The topics covered include: security and safety, bioinformatics, recommender systems, high-performance and cloud computing, and non-traditional computational models (quantum computing, etc.).ioinformatics, recommender="" systems,="" high-performance="" and="" cloud="" computing,="" non-traditional="" computational="" models="" (quantum="" etc.).
Design and Implementation of a Reconfigurable FPGA-based Video Frame Grabber Board
Author: Jeffrey A. NevitsReconfigurable System Design and Verification
Author: Pao-Ann HsiungPublisher: CRC Press
ISBN: 1420062670
Category : Computers
Languages : en
Pages : 287
Book Description
Reconfigurable systems have pervaded nearly all fields of computation and will continue to do so for the foreseeable future. Reconfigurable System Design and Verification provides a compendium of design and verification techniques for reconfigurable systems, allowing you to quickly search for a technique and determine if it is appropriate to the task at hand. It bridges the gap between the need for reconfigurable computing education and the burgeoning development of numerous different techniques in the design and verification of reconfigurable systems in various application domains. The text explains topics in such a way that they can be immediately grasped and put into practice. It starts with an overview of reconfigurable computing architectures and platforms and demonstrates how to develop reconfigurable systems. This sets up the discussion of the hardware, software, and system techniques that form the core of the text. The authors classify design and verification techniques into primary and secondary categories, allowing the appropriate ones to be easily located and compared. The techniques discussed range from system modeling and system-level design to co-simulation and formal verification. Case studies illustrating real-world applications, detailed explanations of complex algorithms, and self-explaining illustrations add depth to the presentation. Comprehensively covering all techniques related to the hardware-software design and verification of reconfigurable systems, this book provides a single source for information that otherwise would have been dispersed among the literature, making it very difficult to search, compare, and select the technique most suitable. The authors do it all for you, making it easy to find the techniques that fit your system requirements, without having to surf the net or digital libraries to find the candidate techniques and compare them yourself.
FPGA Implementations of Neural Networks
Author: Amos R. OmondiPublisher: Springer Science & Business Media
ISBN: 0387284877
Category : Technology & Engineering
Languages : en
Pages : 365
Book Description
During the 1980s and early 1990s there was signi?cant work in the design and implementation of hardware neurocomputers. Nevertheless, most of these efforts may be judged to have been unsuccessful: at no time have have ha- ware neurocomputers been in wide use. This lack of success may be largely attributed to the fact that earlier work was almost entirely aimed at developing custom neurocomputers, based on ASIC technology, but for such niche - eas this technology was never suf?ciently developed or competitive enough to justify large-scale adoption. On the other hand, gate-arrays of the period m- tioned were never large enough nor fast enough for serious arti?cial-neur- network (ANN) applications. But technology has now improved: the capacity and performance of current FPGAs are such that they present a much more realistic alternative. Consequently neurocomputers based on FPGAs are now a much more practical proposition than they have been in the past. This book summarizes some work towards this goal and consists of 12 papers that were selected, after review, from a number of submissions. The book is nominally divided into three parts: Chapters 1 through 4 deal with foundational issues; Chapters 5 through 11 deal with a variety of implementations; and Chapter 12 looks at the lessons learned from a large-scale project and also reconsiders design issues in light of current and future technology.
Robotic Computing on FPGAs
Author: Shaoshan LiuPublisher: Morgan & Claypool Publishers
ISBN: 1636391664
Category : Computers
Languages : en
Pages : 220
Book Description
This book provides a thorough overview of the state-of-the-art field-programmable gate array (FPGA)-based robotic computing accelerator designs and summarizes their adopted optimized techniques. This book consists of ten chapters, delving into the details of how FPGAs have been utilized in robotic perception, localization, planning, and multi-robot collaboration tasks. In addition to individual robotic tasks, this book provides detailed descriptions of how FPGAs have been used in robotic products, including commercial autonomous vehicles and space exploration robots.