Embedded Computer Vision

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Publisher : Springer Science & Business Media
ISBN 13 : 1848003048
Total Pages : 300 pages
Book Rating : 4.8/5 (48 download)

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Book Synopsis Embedded Computer Vision by : Branislav Kisacanin

Download or read book Embedded Computer Vision written by Branislav Kisacanin and published by Springer Science & Business Media. This book was released on 2008-09-26 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: As a graduate student at Ohio State in the mid-1970s, I inherited a unique c- puter vision laboratory from the doctoral research of previous students. They had designed and built an early frame-grabber to deliver digitized color video from a (very large) electronic video camera on a tripod to a mini-computer (sic) with a (huge!) disk drive—about the size of four washing machines. They had also - signed a binary image array processor and programming language, complete with a user’s guide, to facilitate designing software for this one-of-a-kindprocessor. The overall system enabled programmable real-time image processing at video rate for many operations. I had the whole lab to myself. I designed software that detected an object in the eldofview,trackeditsmovementsinrealtime,anddisplayedarunningdescription of the events in English. For example: “An object has appeared in the upper right corner...Itismovingdownandtotheleft...Nowtheobjectisgettingcloser...The object moved out of sight to the left”—about like that. The algorithms were simple, relying on a suf cient image intensity difference to separate the object from the background (a plain wall). From computer vision papers I had read, I knew that vision in general imaging conditions is much more sophisticated. But it worked, it was great fun, and I was hooked.

Advances in Embedded Computer Vision

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Author :
Publisher : Springer
ISBN 13 : 3319093878
Total Pages : 293 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Advances in Embedded Computer Vision by : Branislav Kisačanin

Download or read book Advances in Embedded Computer Vision written by Branislav Kisačanin and published by Springer. This book was released on 2014-11-26 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: This illuminating collection offers a fresh look at the very latest advances in the field of embedded computer vision. Emerging areas covered by this comprehensive text/reference include the embedded realization of 3D vision technologies for a variety of applications, such as stereo cameras on mobile devices. Recent trends towards the development of small unmanned aerial vehicles (UAVs) with embedded image and video processing algorithms are also examined. Topics and features: discusses in detail three major success stories – the development of the optical mouse, vision for consumer robotics, and vision for automotive safety; reviews state-of-the-art research on embedded 3D vision, UAVs, automotive vision, mobile vision apps, and augmented reality; examines the potential of embedded computer vision in such cutting-edge areas as the Internet of Things, the mining of large data streams, and in computational sensing; describes historical successes, current implementations, and future challenges.

Embedded Computer Vision

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Publisher :
ISBN 13 :
Total Pages : 282 pages
Book Rating : 4.:/5 (646 download)

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Book Synopsis Embedded Computer Vision by :

Download or read book Embedded Computer Vision written by and published by . This book was released on 2008 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Embedded Vision

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Author :
Publisher :
ISBN 13 : 9781683924579
Total Pages : 0 pages
Book Rating : 4.9/5 (245 download)

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Book Synopsis Embedded Vision by : S. R. Vijayalakshmi

Download or read book Embedded Vision written by S. R. Vijayalakshmi and published by . This book was released on 2019-08-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introductory guide for anyone who is interested in designing machines that have vision-enabled, embedded products, this book covers topics encountered in hardware architecture, software algorithms, applications, advancements in processors and sensors. --

Embedded Vision

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Publisher : Stylus Publishing, LLC
ISBN 13 : 1683924568
Total Pages : 580 pages
Book Rating : 4.6/5 (839 download)

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Book Synopsis Embedded Vision by : S. R. Vijayalakshmi

Download or read book Embedded Vision written by S. R. Vijayalakshmi and published by Stylus Publishing, LLC. This book was released on 2019-09-20 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: Embedded vision is the integration of “computer vision” into machines that use algorithms to decode meaning from observed images or video. It has a wide range of applications to machine learning, artificial intelligence, industrial, medical, driverless cars, drones, smart phones, aerospace, defense, agriculture, consumer, surveillance, robotics and security. This book is an introductory guide for anyone who is interested in designing machines that have vision-enabled, embedded products. It covers a large number of topics encountered in hardware architecture, software algorithms, applications, advancements in camera, processors, and sensors in the field of embedded vision. Features: Includes a wide range of applications to artificial intelligence, machine learning, industry, science, medicine, transportation, civil infrastructure, and security Covers a large number of topics encountered in hardware architecture, software algorithms, applications, advancements in processors and sensors.

Computer Vision Metrics

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Publisher : Apress
ISBN 13 : 1430259302
Total Pages : 498 pages
Book Rating : 4.4/5 (32 download)

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Book Synopsis Computer Vision Metrics by : Scott Krig

Download or read book Computer Vision Metrics written by Scott Krig and published by Apress. This book was released on 2014-06-14 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Vision Metrics provides an extensive survey and analysis of over 100 current and historical feature description and machine vision methods, with a detailed taxonomy for local, regional and global features. This book provides necessary background to develop intuition about why interest point detectors and feature descriptors actually work, how they are designed, with observations about tuning the methods for achieving robustness and invariance targets for specific applications. The survey is broader than it is deep, with over 540 references provided to dig deeper. The taxonomy includes search methods, spectra components, descriptor representation, shape, distance functions, accuracy, efficiency, robustness and invariance attributes, and more. Rather than providing ‘how-to’ source code examples and shortcuts, this book provides a counterpoint discussion to the many fine opencv community source code resources available for hands-on practitioners.

Design Methodology for Embedded Computer Vision Systems

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (324 download)

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Book Synopsis Design Methodology for Embedded Computer Vision Systems by : Sankalita Saha

Download or read book Design Methodology for Embedded Computer Vision Systems written by Sankalita Saha and published by . This book was released on 2007 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computer Vision Metrics

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Publisher : Springer
ISBN 13 : 3319337629
Total Pages : 653 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Computer Vision Metrics by : Scott Krig

Download or read book Computer Vision Metrics written by Scott Krig and published by Springer. This book was released on 2016-09-16 with total page 653 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on the successful 2014 book published by Apress, this textbook edition is expanded to provide a comprehensive history and state-of-the-art survey for fundamental computer vision methods and deep learning. With over 800 essential references, as well as chapter-by-chapter learning assignments, both students and researchers can dig deeper into core computer vision topics and deep learning architectures. The survey covers everything from feature descriptors, regional and global feature metrics, feature learning architectures, deep learning, neuroscience of vision, neural networks, and detailed example architectures to illustrate computer vision hardware and software optimization methods. To complement the survey, the textbook includes useful analyses which provide insight into the goals of various methods, why they work, and how they may be optimized. The text delivers an essential survey and a valuable taxonomy, thus providing a key learning tool for students, researchers and engineers, to supplement the many effective hands-on resources and open source projects, such as OpenCV and other imaging and deep learning tools.

Embedded Computer Vision System for Object Measurement

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Publisher :
ISBN 13 :
Total Pages : 308 pages
Book Rating : 4.:/5 (862 download)

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Book Synopsis Embedded Computer Vision System for Object Measurement by : Nicholas Pauly

Download or read book Embedded Computer Vision System for Object Measurement written by Nicholas Pauly and published by . This book was released on 2013 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Practical OpenCV

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Publisher : Apress
ISBN 13 : 1430260793
Total Pages : 229 pages
Book Rating : 4.4/5 (32 download)

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Book Synopsis Practical OpenCV by : Samarth Brahmbhatt

Download or read book Practical OpenCV written by Samarth Brahmbhatt and published by Apress. This book was released on 2013-11-19 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical OpenCV is a hands-on project book that shows you how to get the best results from OpenCV, the open-source computer vision library. Computer vision is key to technologies like object recognition, shape detection, and depth estimation. OpenCV is an open-source library with over 2500 algorithms that you can use to do all of these, as well as track moving objects, extract 3D models, and overlay augmented reality. It's used by major companies like Google (in its autonomous car), Intel, and Sony; and it is the backbone of the Robot Operating System’s computer vision capability. In short, if you're working with computer vision at all, you need to know OpenCV. With Practical OpenCV, you'll be able to: Get OpenCV up and running on Windows or Linux. Use OpenCV to control the camera board and run vision algorithms on Raspberry Pi. Understand what goes on behind the scenes in computer vision applications like object detection, image stitching, filtering, stereo vision, and more. Code complex computer vision projects for your class/hobby/robot/job, many of which can execute in real time on off-the-shelf processors. Combine different modules that you develop to create your own interactive computer vision app. What you’ll learn The ins and outs of OpenCV programming on Windows and Linux Transforming and filtering images Detecting corners, edges, lines, and circles in images and video Detecting pre-trained objects in images and video Making panoramas by stitching images together Getting depth information by using stereo cameras Basic machine learning techniques BONUS: Learn how to run OpenCV on Raspberry Pi Who this book is for This book is for programmers and makers with little or no previous exposure to computer vision. Some proficiency with C++ is required. Table of ContentsPart 1: Getting comfortable Chapter 1: Introduction to Computer Vision and OpenCV Chapter 2: Setting up OpenCV on your computer Chapter 3: CV Bling – OpenCV inbuilt demos Chapter 4: Basic operations on images and GUI windows Part 2: Advanced computer vision problems and coding them in OpenCV Chapter 5: Image filtering Chapter 6: Shapes in images Chapter 7: Image segmentation and histograms Chapter 8: Basic machine learning and keypoint-based object detection Chapter 9: Affine and Perspective transformations and their applications to image panoramas Chapter 10: 3D geometry and stereo vision Chapter 11: Embedded computer vision: Running OpenCV programs on the Raspberry Pi

Arduino Computer Vision Programming

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Publisher :
ISBN 13 : 9781783552627
Total Pages : 222 pages
Book Rating : 4.5/5 (526 download)

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Book Synopsis Arduino Computer Vision Programming by : Ozen Ozkaya

Download or read book Arduino Computer Vision Programming written by Ozen Ozkaya and published by . This book was released on 2015-08-24 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design and develop real-world computer vision applications with the powerful combination of OpenCV and ArduinoAbout This Book- Load and run the applications in Arduino to develop intelligent systems- Design and implement detection, classification, and recognition algorithms for computer vision applications- Explore the best practices of computer vision development including state of the art algorithms and hands-on example projectsWho This Book Is ForIf you are a consumer and hobbyist who has familiarity with the basics of Arduino and wish to learn computer vision programming with Arduino to create intelligent systems, then this book is for you. No knowledge of computer vision programming is required.What You Will Learn- Understand the design blocks and the generic architecture of computer vision systems by learning an efficient approach to modelling- Build up your skill set of computer vision system design using OpenCV by learning fundamentals, camera selection, data acquisition, filtering, processing, feature extraction and recognition for any specific problem- Learn the wired and wireless communication capabilities of Arduino and comprehensive best practices to connect it to the OpenCV environment in a platform-independent way- Discover how to use Arduino to elegantly interact with real life via physical actions- Solidify everything you've learnt by designing and building a computer vision-enabled practical robot from scratchIn detailsMost technologies are developed with an inspiration of human capabilities. Most of the time, the hardest to implement capability is vision. Development of highly capable computer vision applications in an easy way requires a generic approach. In this approach, Arduino is a perfect tool for interaction with the real world. Moreover, the combination of OpenCV and Arduino boosts the level and quality of practical computer vision applications.Computer vision is the next level of sensing the environment. The purpose of this book is to teach you how to develop Arduino-supported computer vision systems that can interact with real life by seeing it.This book will combine the powers of Arduino and computer vision in a generalized, well-defined, and applicable way. The practices and approaches in the book can be used for any related problems and on any platforms. At the end of the book, you should be able to solve any types of real life vision problems with all its components by using the presented approach. Each component will extend your vision with the best practices on the topic.In each chapter, you will find interesting real life practical application examples about the topics in the chapter. To make it grounded, we will build a vision-enabled robot step by step towards the end of the book. You will observe that, even though the contexts of the problems are very different, the approaches to solve them are the same and very easy!Style and approachThis book is a step-by-step guide that explains each topic sequentially by using best practices and useful tips to build computer-vision applications with OpenCV and Arduino. All the information in the book is combined in a real life all-in-one example application.

Embedded Visual System and Its Applications on Robots

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Author :
Publisher : Bentham Science Publishers
ISBN 13 : 1608051668
Total Pages : 141 pages
Book Rating : 4.6/5 (8 download)

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Book Synopsis Embedded Visual System and Its Applications on Robots by : De Xu

Download or read book Embedded Visual System and Its Applications on Robots written by De Xu and published by Bentham Science Publishers. This book was released on 2010 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation Embedded vision systems such as smart cameras have been rapidly developed recently. Vision systems have become smaller and lighter, but their performance has improved. The algorithms in embedded vision systems have their specifications limited by frequency of CPU, memory size, and architecture. The goal of this e-book is to provide a an advanced reference work for engineers, researchers and scholars in the field of robotics, machine vision, and automation and to facilitate the exchange of their ideas, experiences and views on embedded vision system models. The effectiveness for all methods is emphasized in a practical sense for systems presented in this e-book.

Holistic Optimization of Embedded Computer Vision Systems

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Publisher :
ISBN 13 :
Total Pages : 147 pages
Book Rating : 4.:/5 (114 download)

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Book Synopsis Holistic Optimization of Embedded Computer Vision Systems by : Mark Andrew Buckler

Download or read book Holistic Optimization of Embedded Computer Vision Systems written by Mark Andrew Buckler and published by . This book was released on 2019 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite strong interest in embedded computer vision, the computational demands of Convolutional Neural Network (CNN) inference far exceed the resources available in embedded devices. Thankfully, the typical embedded device has a number of desirable properties that can be leveraged to significantly reduce the time and energy required for CNN inference. This thesis presents three independent and synergistic methods for optimizing embedded computer vision: 1) Reducing the time and energy needed to capture and preprocess input images by optimizing the image capture pipeline for the needs of CNNs rather than humans. 2) Exploiting temporal redundancy within incoming video streams to perform computationally cheap motion estimation and compensation in lieu of full CNN inference for the majority of frames. 3) Leveraging the sparsity of CNN activations within the frequency domain to significantly reduce the number of operations needed for inference. Collectively these techniques significantly reduce the time and energy needed for computer vision at the edge, enabling a wide variety of exciting new applications.

AI at the Edge

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098120167
Total Pages : 540 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis AI at the Edge by : Daniel Situnayake

Download or read book AI at the Edge written by Daniel Situnayake and published by "O'Reilly Media, Inc.". This book was released on 2023-01-10 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target--from ultra-low power microcontrollers to embedded Linux devices. This practical guide gives engineering professionals, including product managers and technology leaders, an end-to-end framework for solving real-world industrial, commercial, and scientific problems with edge AI. You'll explore every stage of the process, from data collection to model optimization to tuning and testing, as you learn how to design and support edge AI and embedded ML products. Edge AI is destined to become a standard tool for systems engineers. This high-level road map helps you get started. Develop your expertise in AI and ML for edge devices Understand which projects are best solved with edge AI Explore key design patterns for edge AI apps Learn an iterative workflow for developing AI systems Build a team with the skills to solve real-world problems Follow a responsible AI process to create effective products

Architectures for Computer Vision

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Publisher : John Wiley & Sons
ISBN 13 : 1118659236
Total Pages : 624 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Architectures for Computer Vision by : Hong Jeong

Download or read book Architectures for Computer Vision written by Hong Jeong and published by John Wiley & Sons. This book was released on 2014-08-05 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides comprehensive coverage of 3D vision systems, from vision models and state-of-the-art algorithms to their hardware architectures for implementation on DSPs, FPGA and ASIC chips, and GPUs. It aims to fill the gaps between computer vision algorithms and real-time digital circuit implementations, especially with Verilog HDL design. The organization of this book is vision and hardware module directed, based on Verilog vision modules, 3D vision modules, parallel vision architectures, and Verilog designs for the stereo matching system with various parallel architectures. Provides Verilog vision simulators, tailored to the design and testing of general vision chips Bridges the differences between C/C++ and HDL to encompass both software realization and chip implementation; includes numerous examples that realize vision algorithms and general vision processing in HDL Unique in providing an organized and complete overview of how a real-time 3D vision system-on-chip can be designed Focuses on the digital VLSI aspects and implementation of digital signal processing tasks on hardware platforms such as ASICs and FPGAs for 3D vision systems, which have not been comprehensively covered in one single book Provides a timely view of the pervasive use of vision systems and the challenges of fusing information from different vision modules Accompanying website includes software and HDL code packages to enhance further learning and develop advanced systems A solution set and lecture slides are provided on the book's companion website The book is aimed at graduate students and researchers in computer vision and embedded systems, as well as chip and FPGA designers. Senior undergraduate students specializing in VLSI design or computer vision will also find the book to be helpful in understanding advanced applications.

Design for Embedded Image Processing on FPGAs

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Publisher : John Wiley & Sons
ISBN 13 : 0470828528
Total Pages : 503 pages
Book Rating : 4.4/5 (78 download)

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Book Synopsis Design for Embedded Image Processing on FPGAs by : Donald G. Bailey

Download or read book Design for Embedded Image Processing on FPGAs written by Donald G. Bailey and published by John Wiley & Sons. This book was released on 2011-06-13 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr Donald Bailey starts with introductory material considering the problem of embedded image processing, and how some of the issues may be solved using parallel hardware solutions. Field programmable gate arrays (FPGAs) are introduced as a technology that provides flexible, fine-grained hardware that can readily exploit parallelism within many image processing algorithms. A brief review of FPGA programming languages provides the link between a software mindset normally associated with image processing algorithms, and the hardware mindset required for efficient utilization of a parallel hardware design. The design process for implementing an image processing algorithm on an FPGA is compared with that for a conventional software implementation, with the key differences highlighted. Particular attention is given to the techniques for mapping an algorithm onto an FPGA implementation, considering timing, memory bandwidth and resource constraints, and efficient hardware computational techniques. Extensive coverage is given of a range of low and intermediate level image processing operations, discussing efficient implementations and how these may vary according to the application. The techniques are illustrated with several example applications or case studies from projects or applications he has been involved with. Issues such as interfacing between the FPGA and peripheral devices are covered briefly, as is designing the system in such a way that it can be more readily debugged and tuned. Provides a bridge between algorithms and hardware Demonstrates how to avoid many of the potential pitfalls Offers practical recommendations and solutions Illustrates several real-world applications and case studies Allows those with software backgrounds to understand efficient hardware implementation Design for Embedded Image Processing on FPGAs is ideal for researchers and engineers in the vision or image processing industry, who are looking at smart sensors, machine vision, and robotic vision, as well as FPGA developers and application engineers. The book can also be used by graduate students studying imaging systems, computer engineering, digital design, circuit design, or computer science. It can also be used as supplementary text for courses in advanced digital design, algorithm and hardware implementation, and digital signal processing and applications. Companion website for the book: www.wiley.com/go/bailey/fpga

Embedded Real-Time Computer Vision

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (17 download)

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Book Synopsis Embedded Real-Time Computer Vision by : Dominik Honegger

Download or read book Embedded Real-Time Computer Vision written by Dominik Honegger and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: