Computer Vision Advanced Techniques And Applications
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Computer Vision Advanced Techniques And Applications
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Author : Steve Holden
language : en
Publisher:
Release Date : 2019-06-05
Computer Vision Advanced Techniques And Applications written by Steve Holden and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-05 with categories.
Computer vision is the field of science that is concerned with the development of computers to achieve high-level understanding using digital images or videos. It includes the processes of acquiring, processing and understanding of digital images. It also involves the extraction of data from the real world for the purpose of producing numerical or symbolic information. Some of the areas of interest in computer vision include scene reconstruction, object recognition, 3D pose interpretation, motion estimation, image restoration, etc. The applications of computer vision are in the development of artificial intelligence, surveillance, medical imaging, topographical modeling, navigation, among many others. This book brings forth some of the most innovative concepts and elucidates the unexplored aspects of this discipline. From theories to research to practical applications, studies related to all contemporary topics of relevance to this field have also been included. This book attempts to assist those with a goal of delving into the field of computer vision.
Advanced Techniques And Applications Of Image Processing And Computer Vision
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Author : Alexandru I. Marinescu
language : en
Publisher:
Release Date : 2023
Advanced Techniques And Applications Of Image Processing And Computer Vision written by Alexandru I. Marinescu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
Deep Learning For Computer Vision
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Author : Rajalingappaa Shanmugamani
language : en
Publisher:
Release Date : 2018
Deep Learning For Computer Vision written by Rajalingappaa Shanmugamani and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with COMPUTERS categories.
Deep Learning
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Author : Rob Botwright
language : en
Publisher: Rob Botwright
Release Date : 2024
Deep Learning written by Rob Botwright and has been published by Rob Botwright this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Computers categories.
Introducing the Ultimate AI Book Bundle: Deep Learning, Computer Vision, Python Machine Learning, and Neural Networks Are you ready to embark on an exhilarating journey into the world of artificial intelligence, deep learning, and computer vision? Look no further! Our carefully curated book bundle, "DEEP LEARNING: COMPUTER VISION, PYTHON MACHINE LEARNING AND NEURAL NETWORKS," offers you a comprehensive roadmap to AI mastery. BOOK 1 - DEEP LEARNING DEMYSTIFIED: A BEGINNER'S GUIDE 🚀 Perfect for beginners, this book dismantles the complexities of deep learning. From neural networks to Python programming, you'll build a strong foundation in AI. BOOK 2 - MASTERING COMPUTER VISION WITH DEEP LEARNING 🌟 Dive into the captivating world of computer vision. Unlock the secrets of image processing, convolutional neural networks (CNNs), and object recognition. Harness the power of visual intelligence! BOOK 3 - PYTHON MACHINE LEARNING AND NEURAL NETWORKS: FROM NOVICE TO PRO 📊 Elevate your skills with this intermediate volume. Delve into data preprocessing, supervised and unsupervised learning, and become proficient in training neural networks. BOOK 4 - ADVANCED DEEP LEARNING: CUTTING-EDGE TECHNIQUES AND APPLICATIONS 🔥 Ready to conquer advanced techniques? Learn optimization strategies, tackle common deep learning challenges, and explore real-world applications shaping the future. 🎉 What You'll Gain: · A strong foundation in deep learning · Proficiency in computer vision · Mastery of Python machine learning · Advanced deep learning skills · Real-world application knowledge · Cutting-edge AI insights 📚 Why Choose Our Book Bundle? · Expertly curated content · Beginner to expert progression · Clear explanations and hands-on examples · Comprehensive coverage of AI topics · Practical real-world applications · Stay ahead with emerging AI trends 🌐 Who Should Grab This Bundle? · Beginners eager to start their AI journey · Intermediate learners looking to expand their skill set · Experts seeking advanced deep learning insights · Anyone curious about AI's limitless possibilities 📦 Limited-Time Offer: Get all four books in one bundle and save! Don't miss this chance to accelerate your AI knowledge and skills. 🔒 Secure Your AI Mastery: Click "Add to Cart" now and embark on an educational adventure that will redefine your understanding of artificial intelligence. Your journey to AI excellence begins here!
Advanced Methods And Deep Learning In Computer Vision
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Author : E. R. Davies
language : en
Publisher: Academic Press
Release Date : 2021-11-09
Advanced Methods And Deep Learning In Computer Vision written by E. R. Davies and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-09 with Technology & Engineering categories.
Advanced Methods and Deep Learning in Computer Vision presents advanced computer vision methods, emphasizing machine and deep learning techniques that have emerged during the past 5–10 years. The book provides clear explanations of principles and algorithms supported with applications. Topics covered include machine learning, deep learning networks, generative adversarial networks, deep reinforcement learning, self-supervised learning, extraction of robust features, object detection, semantic segmentation, linguistic descriptions of images, visual search, visual tracking, 3D shape retrieval, image inpainting, novelty and anomaly detection. This book provides easy learning for researchers and practitioners of advanced computer vision methods, but it is also suitable as a textbook for a second course on computer vision and deep learning for advanced undergraduates and graduate students. - Provides an important reference on deep learning and advanced computer methods that was created by leaders in the field - Illustrates principles with modern, real-world applications - Suitable for self-learning or as a text for graduate courses
Computer Vision With Opencv And Python
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Author : Thompson Carter
language : en
Publisher: Independently Published
Release Date : 2024-09-20
Computer Vision With Opencv And Python written by Thompson Carter and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-20 with Computers categories.
Are you ready to unlock the limitless potential of computer vision? "Mastering Advanced Techniques and Real-World Applications in Computer Vision Using OpenCV and Python" is your ultimate guide to mastering the tools and techniques that power today's most cutting-edge innovations. Written by expert Thompson Carter, this guide brings you hands-on projects and real-world applications to help you go from beginner to advanced in no time. Whether you're building a facial recognition system, creating an augmented reality experience, or diving into video analytics, this book equips you with everything you need. Learn how to apply OpenCV and Python to real-world challenges, from object detection and tracking to deep learning integration. Packed with practical examples and step-by-step instructions, it's perfect for tech enthusiasts, students, or seasoned developers looking to expand their skill set. Don't miss out on your chance to become an expert in one of the fastest-growing fields in technology. Purchase now and start transforming your ideas into reality with computer vision!
Applications Of Advanced Machine Intelligence In Computer Vision And Object Recognition Emerging Research And Opportunities
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Author : Chakraborty, Shouvik
language : en
Publisher: IGI Global
Release Date : 2020-03-13
Applications Of Advanced Machine Intelligence In Computer Vision And Object Recognition Emerging Research And Opportunities written by Chakraborty, Shouvik and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-13 with Computers categories.
Computer vision and object recognition are two technological methods that are frequently used in various professional disciplines. In order to maintain high levels of quality and accuracy of services in these sectors, continuous enhancements and improvements are needed. The implementation of artificial intelligence and machine learning has assisted in the development of digital imaging, yet proper research on the applications of these advancing technologies is lacking. Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities explores the theoretical and practical aspects of modern advancements in digital image analysis and object detection as well as its applications within healthcare, security, and engineering fields. Featuring coverage on a broad range of topics such as disease detection, adaptive learning, and automated image segmentation, this book is ideally designed for engineers, physicians, researchers, academicians, practitioners, scientists, industry professionals, scholars, and students seeking research on the current developments in object recognition using artificial intelligence.
Mastering Computer Vision With Tensorflow 2 X
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Author : Krishnendu Kar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-05-15
Mastering Computer Vision With Tensorflow 2 X written by Krishnendu Kar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-15 with Computers categories.
Apply neural network architectures to build state-of-the-art computer vision applications using the Python programming language Key FeaturesGain a fundamental understanding of advanced computer vision and neural network models in use todayCover tasks such as low-level vision, image classification, and object detectionDevelop deep learning models on cloud platforms and optimize them using TensorFlow Lite and the OpenVINO toolkitBook Description Computer vision allows machines to gain human-level understanding to visualize, process, and analyze images and videos. This book focuses on using TensorFlow to help you learn advanced computer vision tasks such as image acquisition, processing, and analysis. You'll start with the key principles of computer vision and deep learning to build a solid foundation, before covering neural network architectures and understanding how they work rather than using them as a black box. Next, you'll explore architectures such as VGG, ResNet, Inception, R-CNN, SSD, YOLO, and MobileNet. As you advance, you'll learn to use visual search methods using transfer learning. You'll also cover advanced computer vision concepts such as semantic segmentation, image inpainting with GAN's, object tracking, video segmentation, and action recognition. Later, the book focuses on how machine learning and deep learning concepts can be used to perform tasks such as edge detection and face recognition. You'll then discover how to develop powerful neural network models on your PC and on various cloud platforms. Finally, you'll learn to perform model optimization methods to deploy models on edge devices for real-time inference. By the end of this book, you'll have a solid understanding of computer vision and be able to confidently develop models to automate tasks. What you will learnExplore methods of feature extraction and image retrieval and visualize different layers of the neural network modelUse TensorFlow for various visual search methods for real-world scenariosBuild neural networks or adjust parameters to optimize the performance of modelsUnderstand TensorFlow DeepLab to perform semantic segmentation on images and DCGAN for image inpaintingEvaluate your model and optimize and integrate it into your application to operate at scaleGet up to speed with techniques for performing manual and automated image annotationWho this book is for This book is for computer vision professionals, image processing professionals, machine learning engineers and AI developers who have some knowledge of machine learning and deep learning and want to build expert-level computer vision applications. In addition to familiarity with TensorFlow, Python knowledge will be required to get started with this book.
Sensors And Advanced Sensing Techniques For Computer Vision Applications
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Author : Christos Nikolaos E Anagnostopoulos
language : en
Publisher:
Release Date : 2025-02-25
Sensors And Advanced Sensing Techniques For Computer Vision Applications written by Christos Nikolaos E Anagnostopoulos and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-25 with Science categories.
This is a reprint of the Special Issue on "Sensors and Advanced Sensing Techniques for Computer Vision Applications" aims to address many topics related to the challenging problems of computer vision and pattern recognition in conjunction with the emerging field of deep learning and remote sensing. As a result of the open call for papers, papers related to deep learning, neural networks, and soft computing have been accepted after a rigorous peer review process and assessed for their technical merit and relevance. The featured articles cover applications in the following fields: Deep learning for 2D/3D object recognition and classification; Autonomous navigation and robotic agents; Data augmentation in computer vision; Image fusion, segmentation, and classification from different sensors; Parallel Machine Learning; Photogrammetry and 3D point clouds; Multidisciplinary applications of deep learning, pattern recognition, and computer vision for driving assisting systems and aircraft industry. This reprint could serve as a valuable handbook for engineers being able to work on interdisciplinary topics and integrate technologies that eventually converge.
Computer Vision In Advanced Control Systems 5
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Author : Margarita N. Favorskaya
language : en
Publisher: Springer Nature
Release Date : 2019-12-07
Computer Vision In Advanced Control Systems 5 written by Margarita N. Favorskaya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-07 with Technology & Engineering categories.
This book applies novel theories to improve algorithms in complex data analysis in various fields, including object detection, remote sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis. It is intended for Ph.D. students, academics, researchers, and software developers working in the areas of digital video processing and computer vision technologies.