Search Results for: architectures for computer vision

Architectures For Computer Vision

Architectures for Computer Vision PDF
Author: Hong Jeong
Publisher: John Wiley & Sons
Size: 46.40 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 336
View: 7562

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Architectures For Computer Vision Book Description

by Hong Jeong, Architectures For Computer Vision Books available in PDF, EPUB, Mobi Format. Download Architectures For Computer Vision books, 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.


Pyramidal Architectures For Computer Vision

Pyramidal Architectures for Computer Vision PDF
Author: Virginio Cantoni
Publisher: Springer Science & Business Media
Size: 69.95 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 335
View: 6635

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Pyramidal Architectures For Computer Vision Book Description

by Virginio Cantoni, Pyramidal Architectures For Computer Vision Books available in PDF, EPUB, Mobi Format. Download Pyramidal Architectures For Computer Vision books, Computer vision deals with the problem of manipulating information contained in large quantities of sensory data, where raw data emerge from the transducing 6 7 sensors at rates between 10 to 10 pixels per second. Conventional general purpose computers are unable to achieve the computation rates required to op erate in real time or even in near real time, so massively parallel systems have been used since their conception in this important practical application area. The development of massively parallel computers was initially character ized by efforts to reach a speedup factor equal to the number of processing elements (linear scaling assumption). This behavior pattern can nearly be achieved only when there is a perfect match between the computational struc ture or data structure and the system architecture. The theory of hierarchical modular systems (HMSs) has shown that even a small number of hierarchical levels can sizably increase the effectiveness of very large systems. In fact, in the last decade several hierarchical architectures that support capabilities which can overcome performances gained with the assumption of linear scaling have been proposed. Of these architectures, the most commonly considered in com puter vision is the one based on a very large number of processing elements (PEs) embedded in a pyramidal structure. Pyramidal architectures supply the same image at different resolution lev els, thus ensuring the use of the most appropriate resolution for the operation, task, and image at hand.


1993 Computer Architectures For Machine Perception

1993 Computer Architectures for Machine Perception PDF
Author: Magdy A. Bayoumi
Publisher: IEEE Computer Society
Size: 63.72 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 456
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1993 Computer Architectures For Machine Perception Book Description

by Magdy A. Bayoumi, 1993 Computer Architectures For Machine Perception Books available in PDF, EPUB, Mobi Format. Download 1993 Computer Architectures For Machine Perception books, Proceedings of the Computer Architectures for Machine Perception Workshop held Dec. 15-17, 1993 in New Orleans, Louisiana. Papers came from several communities: computer architecture; pattern recognition; image processing and analysis; computer vision; and VLSI. No index. Annotation copyright Book N


Proceedings

Proceedings PDF
Author:
Publisher:
Size: 45.73 MB
Format: PDF, ePub, Mobi
Category : Computer architecture
Languages : en
Pages :
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Proceedings Book Description

by , Proceedings Books available in PDF, EPUB, Mobi Format. Download Proceedings books,


1985 Ieee Computer Society Workshop On Computer Architecture For Pattern Analysis And Image Database Management Miami Beach Florida November 18 20 1985

1985 IEEE Computer Society Workshop on Computer Architecture for Pattern Analysis and Image Database Management  Miami Beach  Florida  November 18 20  1985 PDF
Author:
Publisher:
Size: 32.12 MB
Format: PDF, ePub, Docs
Category : Computer architecture
Languages : en
Pages : 534
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1985 Ieee Computer Society Workshop On Computer Architecture For Pattern Analysis And Image Database Management Miami Beach Florida November 18 20 1985 Book Description

by , 1985 Ieee Computer Society Workshop On Computer Architecture For Pattern Analysis And Image Database Management Miami Beach Florida November 18 20 1985 Books available in PDF, EPUB, Mobi Format. Download 1985 Ieee Computer Society Workshop On Computer Architecture For Pattern Analysis And Image Database Management Miami Beach Florida November 18 20 1985 books,


Embedded Computer Vision

Embedded Computer Vision PDF
Author: Branislav Kisacanin
Publisher: Springer Science & Business Media
Size: 74.83 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 284
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Embedded Computer Vision Book Description

by Branislav Kisacanin, Embedded Computer Vision Books available in PDF, EPUB, Mobi Format. Download Embedded Computer Vision books, 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.


Machine Vision Architectures Integration And Applications

Machine Vision Architectures  Integration  and Applications PDF
Author: Bruce G. Batchelor
Publisher: Society of Photo Optical
Size: 77.39 MB
Format: PDF, ePub, Mobi
Category : Technology & Engineering
Languages : en
Pages : 421
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Machine Vision Architectures Integration And Applications Book Description

by Bruce G. Batchelor, Machine Vision Architectures Integration And Applications Books available in PDF, EPUB, Mobi Format. Download Machine Vision Architectures Integration And Applications books,


Automated Inspection And High Speed Vision Architectures Ii

Automated Inspection and High Speed Vision Architectures II PDF
Author: Michael J. W. Chen
Publisher: Society of Photo Optical
Size: 26.45 MB
Format: PDF, Mobi
Category : Technology & Engineering
Languages : en
Pages : 239
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Automated Inspection And High Speed Vision Architectures Ii Book Description

by Michael J. W. Chen, Automated Inspection And High Speed Vision Architectures Ii Books available in PDF, EPUB, Mobi Format. Download Automated Inspection And High Speed Vision Architectures Ii books,


Deep Learning For Vision Systems

Deep Learning for Vision Systems PDF
Author: Mohamed Elgendy
Publisher: Manning Publications
Size: 56.59 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 480
View: 3755

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Deep Learning For Vision Systems Book Description

by Mohamed Elgendy, Deep Learning For Vision Systems Books available in PDF, EPUB, Mobi Format. Download Deep Learning For Vision Systems books, How does the computer learn to understand what it sees? Deep Learning for Vision Systems answers that by applying deep learning to computer vision. Using only high school algebra, this book illuminates the concepts behind visual intuition. You'll understand how to use deep learning architectures to build vision system applications for image generation and facial recognition. Summary Computer vision is central to many leading-edge innovations, including self-driving cars, drones, augmented reality, facial recognition, and much, much more. Amazing new computer vision applications are developed every day, thanks to rapid advances in AI and deep learning (DL). Deep Learning for Vision Systems teaches you the concepts and tools for building intelligent, scalable computer vision systems that can identify and react to objects in images, videos, and real life. With author Mohamed Elgendy's expert instruction and illustration of real-world projects, you’ll finally grok state-of-the-art deep learning techniques, so you can build, contribute to, and lead in the exciting realm of computer vision! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology How much has computer vision advanced? One ride in a Tesla is the only answer you’ll need. Deep learning techniques have led to exciting breakthroughs in facial recognition, interactive simulations, and medical imaging, but nothing beats seeing a car respond to real-world stimuli while speeding down the highway. About the book How does the computer learn to understand what it sees? Deep Learning for Vision Systems answers that by applying deep learning to computer vision. Using only high school algebra, this book illuminates the concepts behind visual intuition. You'll understand how to use deep learning architectures to build vision system applications for image generation and facial recognition. What's inside Image classification and object detection Advanced deep learning architectures Transfer learning and generative adversarial networks DeepDream and neural style transfer Visual embeddings and image search About the reader For intermediate Python programmers. About the author Mohamed Elgendy is the VP of Engineering at Rakuten. A seasoned AI expert, he has previously built and managed AI products at Amazon and Twilio. Table of Contents PART 1 - DEEP LEARNING FOUNDATION 1 Welcome to computer vision 2 Deep learning and neural networks 3 Convolutional neural networks 4 Structuring DL projects and hyperparameter tuning PART 2 - IMAGE CLASSIFICATION AND DETECTION 5 Advanced CNN architectures 6 Transfer learning 7 Object detection with R-CNN, SSD, and YOLO PART 3 - GENERATIVE MODELS AND VISUAL EMBEDDINGS 8 Generative adversarial networks (GANs) 9 DeepDream and neural style transfer 10 Visual embeddings