Deep Learning for Vision Systems Book

Deep Learning for Vision Systems


  • Author : Mohamed Elgendy
  • Publisher : Manning Publications
  • Release Date : 2020-11-10
  • Genre: Computers
  • Pages : 480
  • ISBN 10 : 9781617296192

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Deep Learning for Vision Systems Excerpt :

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 A

Machine Vision Inspection Systems  Image Processing  Concepts  Methodologies  and Applications Book

Machine Vision Inspection Systems Image Processing Concepts Methodologies and Applications


  • Author : Muthukumaran Malarvel
  • Publisher : John Wiley & Sons
  • Release Date : 2020-06-01
  • Genre: Computers
  • Pages : 256
  • ISBN 10 : 9781119682097

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Machine Vision Inspection Systems Image Processing Concepts Methodologies and Applications Excerpt :

This edited book brings together leading researchers, academic scientists and research scholars to put forward and share their experiences and research results on all aspects of an inspection system for detection analysis for various machine vision applications. It also provides a premier interdisciplinary platform to present and discuss the most recent innovations, trends, methodology, applications, and concerns as well as practical challenges encountered and solutions adopted in the inspection system in terms of image processing and analytics of machine vision for real and industrial application. Machine vision inspection systems (MVIS) utilized all industrial and non-industrial applications where the execution of their utilities based on the acquisition and processing of images. MVIS can be applicable in industry, governmental, defense, aerospace, remote sensing, medical, and academic/education applications but constraints are different. MVIS entails acceptable accuracy, high reliability, high robustness, and low cost. Image processing is a well-defined transformation between human vision and image digitization, and their techniques are the foremost way to experiment in the MVIS. The digital image technique furnishes improved pictorial information by processing the image data through machine vision perception. Digital image pro­cessing has widely been used in MVIS applications and it can be employed to a wide diversity of problems particularly in Non-Destructive testing (NDT), presence/absence detection, defect/fault detection (weld, textile, tiles, wood, etc.,), automated vision test & measurement, pattern matching, optical character recognition & verification (OCR/OCV), barcode reading and traceability, medical diagnosis, weather forecasting, face recognition, defence and space research, etc. This edited book is designed to address various aspects of recent methodologies, concepts and research plan out to the readers for giving more depth insights for perusing

Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches Book

Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches


  • Author : Chiranji Lal Chowdhary
  • Publisher : Computing and Networks
  • Release Date : 2021-11
  • Genre: Computers
  • Pages : 504
  • ISBN 10 : 1839533234

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Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches Excerpt :

Written by a team of International experts, this edited book covers state-of-the-art research in the fields of computer vision and recognition systems from fundamental concepts to methodologies and technologies and real-world applications. The book will be useful for industry and academic researchers, scientists and engineers.

Computer Vision and Recognition Systems Book

Computer Vision and Recognition Systems


  • Author : Chiranji Lal Chowdhary
  • Publisher : Apple Academic Press Incorporated
  • Release Date : 2022
  • Genre: Science
  • Pages : 256
  • ISBN 10 : 1003180590

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Computer Vision and Recognition Systems Excerpt :

This cutting-edge volume focuses on how artificial intelligence can be used to give computers the ability to imitate human sight. With contributions from researchers in diverse countries, including Thailand, Spain, Japan, Turkey, Australia, and India, the book explains the essential modules that are necessary for comprehending artificial intelligence experiences to provide machines with the power of vision. The volume also presents innovative research developments, applications, and current trends in the field. The chapters cover such topics as visual quality improvement, Parkinson's disease diagnosis, hypertensive retinopathy detection through retinal fundus, big image data processing, N-grams for image classification, medical brain images, chatbot applications, credit score improvisation, vision-based vehicle lane detection, damaged vehicle parts recognition, partial image encryption of medical images, and image synthesis. The chapter authors show different approaches to computer vision, image processing, and frameworks for machine learning to build automated and stable applications. Deep learning is included for making immersive application-based systems, pattern recognition, and biometric systems. The book also considers efficiency and comparison at various levels of using algorithms for real-time applications, processes, and analysis.

Computer Vision  Systems  Theory and Applications Book

Computer Vision Systems Theory and Applications


  • Author : A Basu
  • Publisher : World Scientific
  • Release Date : 1993-05-28
  • Genre: Technology & Engineering
  • Pages : 268
  • ISBN 10 : 9789814504218

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Computer Vision Systems Theory and Applications Excerpt :

This book contains a selection of papers which were presented at the Vision Interface '92 Conference. It also includes several invited articles from prominent researchers in the field, suggesting future directions in Computer Vision. Contents:On Seeing Robots (A K Mackworth)Computer Vision: Attitudes, Barriers, Counseling (R Chellappa & A Rosenfeld)From Curve Detection to Shape Description: An Outline (S W Zucker et al.)Real-Time Pyramidal Vision (Z-N Li)Analyzing Overlapping Patterns to Recognize Letters in Handwritten Words (C Barrière & R Plamondon)Use of Colour in Gradient-Based Estimation of Dense Two-Dimensional Motion (J Konrad)Representational Issues in Texture Analysis (H C Shen et al.)Resampling Large Voxel Datasets for Reconstruction or Magnification of 3D Images (H H Atkinson et al.)A Two-Step Robust Approach to Motion Estimation (X Sun & M E Spetsakis)and other papers Readership: Computer scientists and engineers. keywords:Computer Vision;Curve Detection;Pyramidal Vision;Motion Estimation;Octree Models;Realtime Image Segmentation;Texture Representation;;;

Low Power Computer Vision Book

Low Power Computer Vision


  • Author : Taylor & Francis Group
  • Publisher : CRC Press
  • Release Date : 2022-02-23
  • Genre: Uncategoriezed
  • Pages : 344
  • ISBN 10 : 0367744708

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Low Power Computer Vision Excerpt :

Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Vision Challenges since 2015. The winners share their solutions and provide insight on how to improve the efficiency of machine learning systems.

Handbook of Image Processing and Computer Vision Book

Handbook of Image Processing and Computer Vision


  • Author : Arcangelo Distante
  • Publisher : Springer Nature
  • Release Date : 2020-05-28
  • Genre: Computers
  • Pages : 491
  • ISBN 10 : 9783030381486

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Handbook of Image Processing and Computer Vision Excerpt :

Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding. The authoritative insights presented within cover all aspects of the sensory subsystem required by an intelligent system to perceive the environment and act autonomously. Volume 1 (From Energy to Image) examines the formation, properties, and enhancement of a digital image. Topics and features: • Describes the fundamental processes in the field of artificial vision that enable the formation of digital images from light energy • Covers light propagation, color perception, optical systems, and the analog-to-digital conversion of the signal • Discusses the information recorded in a digital image, and the image processing algorithms that can improve the visual qualities of the image • Reviews boundary extraction algorithms, key linear and geometric transformations, and techniques for image restoration • Presents a selection of different image segmentation algorithms, and of widely-used algorithms for the automatic detection of points of interest • Examines important algorithms for object recognition, texture analysis, 3D reconstruction, motion analysis, and camera calibration • Provides an introduction to four significant types of neural network, namely RBF, SOM, Hopfield, and deep neural networks This all-encompassing survey offers a complete reference for all students, researchers, and practitioners involved in developing intelligent machine vision systems. The work is also an invaluable resource for professionals within the IT/software and electronics industries involved in machine vision, imaging, and artificial intelligence. Dr. Cosimo Distante is a Research Scientist in Computer Vision and Pattern Recognition in the Institute of Applied Sciences and Intelligent Systems (I

Computer Vision in Control Systems 1 Book

Computer Vision in Control Systems 1


  • Author : Margarita N. Favorskaya
  • Publisher : Springer
  • Release Date : 2014-11-01
  • Genre: Technology & Engineering
  • Pages : 371
  • ISBN 10 : 9783319106533

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Computer Vision in Control Systems 1 Excerpt :

This book is focused on the recent advances in computer vision methodologies and technical solutions using conventional and intelligent paradigms. The Contributions include: · Morphological Image Analysis for Computer Vision Applications. · Methods for Detecting of Structural Changes in Computer Vision Systems. · Hierarchical Adaptive KL-based Transform: Algorithms and Applications. · Automatic Estimation for Parameters of Image Projective Transforms Based on Object-invariant Cores. · A Way of Energy Analysis for Image and Video Sequence Processing. · Optimal Measurement of Visual Motion Across Spatial and Temporal Scales. · Scene Analysis Using Morphological Mathematics and Fuzzy Logic. · Digital Video Stabilization in Static and Dynamic Scenes. · Implementation of Hadamard Matrices for Image Processing. · A Generalized Criterion of Efficiency for Telecommunication Systems. The book is directed to PhD students, professors, researchers and software developers working in the areas of digital video processing and computer vision technologies.

Computer Vision in Control Systems 4 Book

Computer Vision in Control Systems 4


  • Author : Margarita N. Favorskaya
  • Publisher : Springer
  • Release Date : 2017-10-25
  • Genre: Technology & Engineering
  • Pages : 317
  • ISBN 10 : 9783319679945

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Computer Vision in Control Systems 4 Excerpt :

The research book is a continuation of the authors’ previous works, which are focused on recent advances in computer vision methodologies and technical solutions using conventional and intelligent paradigms. The book gathers selected contributions addressing a number of real-life applications including the identification of handwritten texts, watermarking techniques, simultaneous localization and mapping for mobile robots, motion control systems for mobile robots, analysis of indoor human activity, facial image quality assessment, android device controlling, processing medical images, clinical decision-making and foot progression angle detection. Given the tremendous interest among researchers in the development and applications of computer vision paradigms in the field of business, engineering, medicine, security and aviation, the book offers a timely guide for all PhD students, professors, researchers and software developers working in the areas of digital video processing and computer vision technologies.

Image Acquisition and Preprocessing for Machine Vision Systems Book

Image Acquisition and Preprocessing for Machine Vision Systems


  • Author : P. K. Sinha
  • Publisher : Society of Photo Optical
  • Release Date : 2012-01-01
  • Genre: Science
  • Pages : 726
  • ISBN 10 : 0819482021

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Image Acquisition and Preprocessing for Machine Vision Systems Excerpt :

This book provides a combination of the operational details of imaging hardware and analytical theories of low-level image processing functions. By a blend of optics, stage lighting, and framegrabber descriptions, and detailed theories of CCD and CMOS image sensors, image formation, and camera calibration, the image acquisition part of the book provides a comprehensive reference text for image acquisition. The pre-processing part brings together a wide range of enhancement and filtering kernels and imaging functions through well-structured analytical bases. With unified coverage of image acquisition modules and pre-processing functions, this book bridges the gaps between hardware and software on one hand and theory and applications on the other. With its detailed coverage of imaging hardware and derivations of pre-processing kernels, it is a useful design reference for students, researchers, application and product engineers, and systems integrators.

Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies Book

Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies


  • Author : Sarfraz, Muhammad
  • Publisher : IGI Global
  • Release Date : 2014-04-30
  • Genre: Computers
  • Pages : 312
  • ISBN 10 : 9781466660311

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Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies Excerpt :

The fields of computer vision and image processing are constantly evolving as new research and applications in these areas emerge. Staying abreast of the most up-to-date developments in this field is necessary in order to promote further research and apply these developments in real-world settings. Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies features timely and informative research on the design and development of computer vision and image processing applications in intelligent agents as well as in multimedia technologies. Covering a diverse set of research in these areas, this publication is ideally designed for use by academicians, technology professionals, students, and researchers interested in uncovering the latest innovations in the field.

Biological and Computer Vision Book

Biological and Computer Vision


  • Author : Gabriel Kreiman
  • Publisher : Unknown
  • Release Date : 2020-12
  • Genre: Uncategoriezed
  • Pages : null
  • ISBN 10 : 1108649998

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Biological and Computer Vision Excerpt :

Computer Vision Book

Computer Vision


  • Author : Simon J. D. Prince
  • Publisher : Cambridge University Press
  • Release Date : 2012-06-18
  • Genre: Computers
  • Pages : 580
  • ISBN 10 : 9781107011793

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Computer Vision Excerpt :

A modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms.

Practical Machine Learning for Computer Vision Book

Practical Machine Learning for Computer Vision


  • Author : Valliappa Lakshmanan
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2021-07-21
  • Genre: Computers
  • Pages : 482
  • ISBN 10 : 9781098102333

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Practical Machine Learning for Computer Vision Excerpt :

This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a great introduction to end-to-end deep learning: dataset creation, data preprocessing, model design, model training, evaluation, deployment, and interpretability. Google engineers Valliappa Lakshmanan, Martin Görner, and Ryan Gillard show you how to develop accurate and explainable computer vision ML models and put them into large-scale production using robust ML architecture in a flexible and maintainable way. You'll learn how to design, train, evaluate, and predict with models written in TensorFlow or Keras. You'll learn how to: Design ML architecture for computer vision tasks Select a model (such as ResNet, SqueezeNet, or EfficientNet) appropriate to your task Create an end-to-end ML pipeline to train, evaluate, deploy, and explain your model Preprocess images for data augmentation and to support learnability Incorporate explainability and responsible AI best practices Deploy image models as web services or on edge devices Monitor and manage ML models

Video Based Surveillance Systems Book

Video Based Surveillance Systems


  • Author : Graeme A. Jones
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Genre: Computers
  • Pages : 279
  • ISBN 10 : 9781461509134

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Video Based Surveillance Systems Excerpt :

Monitoring of public and private sites has increasingly become a very sensitive issue resulting in a patchwork of privacy laws varying from country to country -though all aimed at protecting the privacy of the citizen. It is important to remember, however, that monitoring and vi sual surveillance capabilities can also be employed to aid the citizen. The focus of current development is primarily aimed at public and cor porate safety applications including the monitoring of railway stations, airports, and inaccessible or dangerous environments. Future research effort, however, has already targeted citizen-oriented applications such as monitoring assistants for the aged and infirm, route-planning and congestion-avoidance tools, and a range of environment al monitoring applications. The latest generation of surveillance systems has eagerly adopted re cent technological developments to produce a fully digital pipeline of digital image acquisition, digital data transmission and digital record ing. The resultant surveillance products are highly-fiexihle, capahle of generating forensic-quality imagery, and ahle to exploit existing Internet and wide area network services to provide remote monitoring capability.