Design Methodology for Embedded Computer Vision Systems
Author | : Sankalita Saha |
Publisher | : |
Total Pages | : |
Release | : 2007 |
Genre | : |
ISBN | : |
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Author | : Sankalita Saha |
Publisher | : |
Total Pages | : |
Release | : 2007 |
Genre | : |
ISBN | : |
Author | : Branislav Kisacanin |
Publisher | : Springer Science & Business Media |
Total Pages | : 300 |
Release | : 2008-09-26 |
Genre | : Computers |
ISBN | : 1848003048 |
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.
Author | : |
Publisher | : |
Total Pages | : 282 |
Release | : 2008 |
Genre | : Computer vision |
ISBN | : |
Author | : Branislav Kisačanin |
Publisher | : Springer |
Total Pages | : 293 |
Release | : 2014-11-26 |
Genre | : Computers |
ISBN | : 3319093878 |
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.
Author | : Aysegul Cuhadar |
Publisher | : |
Total Pages | : 294 |
Release | : 1995 |
Genre | : |
ISBN | : |
Author | : Hong Jeong |
Publisher | : John Wiley & Sons |
Total Pages | : 624 |
Release | : 2014-08-05 |
Genre | : Computers |
ISBN | : 1118659236 |
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.
Author | : Hyeoung Ho Bae |
Publisher | : |
Total Pages | : 118 |
Release | : 2013 |
Genre | : |
ISBN | : 9781303161339 |
Motion blurred image is one of the most interesting subject in computer vision and biomedical area. Clear images can be reconstructed from the blurry sources by computer vision algorithms (e.g. motion deblurring). Blur can contain useful information for biomedical applications (e.g. laser speckle imaging). This dissertation discusses specifically embedded computer vision systems that we developed for those problems. Motion deblurring : We approached the problem from two different aspects: 1) light-weight algorithm and 2) highly accurate system. We developed a novel light-weight motion deblurring algorithm for an embedded computing platform. It is 4 to 80 times faster than the recent algorithms with better accuracy. A novel hardware/software system is developed to estimate spatially-variant blur kernel. In the system, we integrate an IMU, a depth sensor, a camera, and the control board. The system shows significant improvements in estimation accuracy compared to the most recent algorithms. LSI system : A conventional LSI system is built on a personal computer system. It has two short comings: 1) Too big to be used in emergency applications (e.g. emergency vehicle, battle field) 2) Field of View (FoV) is too small to be used for larger areas (e.g. burn wound). The mobile LSI system is battery-powered portable LSI system. An embedded processor is used for the processing unit and the special laser diode driving circuit is designed for reducing power consumption. The system can process the speckle row index map of VGA resolution at 2-3 fps for 4 hours without charging. The novel multi-camera LSI system is developed to increase the FoV. The images from multiple cameras are merged into a single functional map to cover larger areas. A novel unit based design enables simple increase of spatial resolution. We developed hardware/software architecture to connect 27 camera units in a single system. The mcLSI system shows better spatio-temporal resolution compared to the conventional LSI systems.
Author | : S. R. Vijayalakshmi |
Publisher | : |
Total Pages | : 0 |
Release | : 2019-08-15 |
Genre | : Computers |
ISBN | : 9781683924579 |
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. --
Author | : De Xu |
Publisher | : Bentham Science Publishers |
Total Pages | : 141 |
Release | : 2010 |
Genre | : Technology & Engineering |
ISBN | : 1608051668 |
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.
Author | : Jörg Wilberg |
Publisher | : Springer Science & Business Media |
Total Pages | : 199 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 1461560810 |
Codesign for Real-Time Video Applications describes a modern design approach for embedded systems. It combines the design of hardware, software, and algorithms. Traditionally, these design domains are treated separately to reduce the design complexity. Advanced design tools support a codesign of the different domains which opens an opportunity for exploiting synergetic effects. The design approach is illustrated by the design of a video compression system. It is integrated into the video card of a PC. A VLIW processor architecture is used as the basis of the compression system and popular video compression algorithms (MPEG, JPEG, H.261) are analyzed. A complete top-down design flow is presented and the design tools for each of the design steps are explained. The tools are integrated into an HTML-based design framework. The resulting design data can be directly integrated into the WWW. This is a crucial aspect for supporting distributed design groups. The design data can be directly documented an cross referencing in an almost arbitrary way is supported. This provides a platform for information sharing among the different design domains. Codesign for Real-Time Video Applications focuses on the multi-disciplinary aspects of embedded system design. It combines design automation and advanced processor design with an important application domain. A quantitative design approach is emphasized which focuses the design time on the most crucial components. Thus enabling a fast and cost efficient design methodology. This book will be of interest to researchers, designers and managers working in embedded system design.