Image Processing and Computer Vision in iOS
Image Processing and Computer Vision in iOS

Author: Oge Marques

Publisher: Springer Nature

Published: 2020-11-23

Total Pages: 66

ISBN-13: 3030540324

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This book presents the fundamentals of mobile visual computing in iOS development and provides directions for developers and researchers interested in developing iOS applications with image processing and computer vision capabilities. Presenting a technical overview of some of the tools, languages, libraries, frameworks, and APIs currently available for developing iOS applications Image Processing and Computer Vision in iOS reveals the rich capabilities in image processing and computer vision. Its main goal is to provide a road map to what is currently available, and a path to successfully tackle this rather complex but highly rewarding task.

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

Author: Sarfraz, Muhammad

Publisher: IGI Global

Published: 2014-04-30

Total Pages: 391

ISBN-13: 1466660317

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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.

Computer Vision and Augmented Reality in iOS
Computer Vision and Augmented Reality in iOS

Author: Ahmed Fathi Bekhit

Publisher: Apress

Published: 2021-12-08

Total Pages: 159

ISBN-13: 9781484274613

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Learn how computer vision works, how augmented reality renders digital graphics into the physical world via an iPhone’s camera, and how to incorporate these technologies into your own apps. This book shows you how to take full advantage of computer vision technologies. Interacting with other people online usually involves user-generated images and videos; whether it be “memes”, short videos, or heavily-modified images. Before smart phones, generating this content required a professional using high-level image and video editing software. Not any more. This book will teach you to use computer vision in the most popular ways, such as for facial recognition, image to text analysis and, of course, recording a video of a dancing hot dog in your living room. Starting with the history of computer vision, image and video processing fundamentals, and an introduction to developing augmented reality applications, you’ll learn to incorporate computer vision both in the content you create and the apps you develop for end users. Computer Vision and Augmented Reality in iOS reveals how every user with access to the Internet and a smart phone can easily generate heavily-modified images and videos. What You'll Learn Incorporate mathematics related to computer vision into your apps Host computer vision models remotely for mobile use Implement visual-inertial state estimation algorithms for mobile augmented reality Who This Book Is For Professionals or post graduate students in software development or engineering who have a basic understanding of how software development works and are interested in implementing computer vision into their development. It's recommended that readers already have a working knowledge of C++ and Swift.

Computer Vision and Image Processing
Computer Vision and Image Processing

Author: Linda Shapiro

Publisher: Academic Press

Published: 1992-04-27

Total Pages: 638

ISBN-13: 0323141560

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Computer Vision and Image Processing contains review papers from the Computer Vision, Graphics, and Image Processing volume covering a large variety of vision-related topics. Organized into five parts encompassing 26 chapters, the book covers topics on image-level operations and architectures; image representation and recognition; and three-dimensional imaging. The introductory part of this book is concerned with the end-to-end performance of image gathering and processing for high-resolution edge detection. It proposes methods using mathematical morphology to provide a complete edge detection process that may be used with any slope approximating operator. This part also discusses the automatic control of low-level robot vision, presents an image partitioning method suited for parallel implementation, and describes invariant architectures for low-level vision. The subsequent two sections present significant topics on image representation and recognition. Topics covered include the use of the primitives chain code; the geometric properties of the generalized cone; efficient rendering and structural-statistical character recognition algorithms; multi-level thresholding for image segmentation; knowledge-based object recognition system; and shape decomposition method based on perceptual structure. The fourth part describes a rule-based expert system for recovering three-dimensional shape and orientation. A procedure of intensity-guided range sensing to gain insights on the concept of cooperative-and-iterative strategy is also presented in this part. The concluding part contains supplementary texts on texture segmentation using topographic labels and an improved algorithm for labeling connected components in a binary image. Additional algorithms for three-dimensional motion parameter determination and surface tracking in three-dimensional binary images are also provided.

Computer Vision and Augmented Reality in IOS
Computer Vision and Augmented Reality in IOS

Author: Ahmed Fathi Bekhit

Publisher:

Published: 2022

Total Pages: 0

ISBN-13: 9781484283387

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Learn how computer vision works, how augmented reality renders digital graphics into the physical world via an iPhone's camera, and how to incorporate these technologies into your own apps. This book shows you how to take full advantage of computer vision technologies. Interacting with other people online usually involves user-generated images and videos; whether it be "memes", short videos, or heavily-modified images. Before smart phones, generating this content required a professional using high-level image and video editing software. Not any more. This book will teach you to use computer vision in the most popular ways, such as for facial recognition, image to text analysis and, of course, recording a video of a dancing hot dog in your living room. Starting with the history of computer vision, image and video processing fundamentals, and an introduction to developing augmented reality applications, you'll learn to incorporate computer vision both in the content you create and the apps you develop for end users. Computer Vision and Augmented Reality in iOS reveals how every user with access to the Internet and a smart phone can easily generate heavily-modified images and videos. You will: Incorporate mathematics related to computer vision into your apps Host computer vision models remotely for mobile use Implement visual-inertial state estimation algorithms for mobile augmented reality.

Computer Vision and Image Processing
Computer Vision and Image Processing

Author: S. Nagabhushana

Publisher: New Age International

Published: 2005

Total Pages: 260

ISBN-13: 9788122416428

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An Attempt Has Been Made To Explain The Concepts Of Computer Vision And Image Processing In A Simple Manner With The Help Of Number Of Algorithms And Live Examples. I Sincerely Hope That The Book Will Give Complete Information About Computer Vision And Image Processing To The Reader.It Not Only Serves As An Introductory Academic Text, But Also Helps Practicing Professionals To Implement Various Computer Vision And Image Processing Algorithms In Real-Time Projects.

Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era
Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era

Author: Srinivasan, A.

Publisher: IGI Global

Published: 2022-10-21

Total Pages: 467

ISBN-13: 1799888940

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In recent decades, there has been an increasing interest in using machine learning and, in the last few years, deep learning methods combined with other vision and image processing techniques to create systems that solve vision problems in different fields. There is a need for academicians, developers, and industry-related researchers to present, share, and explore traditional and new areas of computer vision, machine learning, deep learning, and their combinations to solve problems. The Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era is designed to serve researchers and developers by sharing original, innovative, and state-of-the-art algorithms and architectures for applications in the areas of computer vision, image processing, biometrics, virtual and augmented reality, and more. It integrates the knowledge of the growing international community of researchers working on the application of machine learning and deep learning methods in vision and robotics. Covering topics such as brain tumor detection, heart disease prediction, and medical image detection, this premier reference source is an exceptional resource for medical professionals, faculty and students of higher education, business leaders and managers, librarians, government officials, researchers, and academicians.

Research Developments in Computer Vision and Image Processing: Methodologies and Applications
Research Developments in Computer Vision and Image Processing: Methodologies and Applications

Author: Srivastava, Rajeev

Publisher: IGI Global

Published: 2013-09-30

Total Pages: 451

ISBN-13: 1466645598

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Similar to the way in which computer vision and computer graphics act as the dual fields that connect image processing in modern computer science, the field of image processing can be considered a crucial middle road between the vision and graphics fields. Research Developments in Computer Vision and Image Processing: Methodologies and Applications brings together various research methodologies and trends in emerging areas of application of computer vision and image processing. This book is useful for students, researchers, scientists, and engineers interested in the research developments of this rapidly growing field.

Computer Vision and Image Processing
Computer Vision and Image Processing

Author: Manas Kamal Bhuyan

Publisher: CRC Press

Published: 2019-11-05

Total Pages: 442

ISBN-13: 1351248383

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The book familiarizes readers with fundamental concepts and issues related to computer vision and major approaches that address them. The focus of the book is on image acquisition and image formation models, radiometric models of image formation, image formation in the camera, image processing concepts, concept of feature extraction and feature selection for pattern classification/recognition, and advanced concepts like object classification, object tracking, image-based rendering, and image registration. Intended to be a companion to a typical teaching course on computer vision, the book takes a problem-solving approach.

Artificial Intelligence and Machine Learning Techniques in Image Processing and Computer Vision
Artificial Intelligence and Machine Learning Techniques in Image Processing and Computer Vision

Author: Karm Veer Arya

Publisher:

Published: 2024

Total Pages: 0

ISBN-13: 9781774914687

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"Artificial Intelligence and Machine Learning Techniques in Image Processing and Computer Vision provides in-depth and detailed knowledge about the latest research in image processing and computer vision techniques. It is a roadmap for the improvement of computer vision and image processing, explaining the machine learning algorithms and models involved. The authors differentiate between the various algorithms available and how to choose which to use for the most precise results for a specific task involving certain constraints. The volume provides real-world examples to illustrate the concepts and methods. The authors discuss machine learning in healthcare systems for detection, diagnosis, classification, and segmentation. They also explore the diverse applications of image and video processing, including image colorization and restoration using deep learning, using machine learning to record the changes in the Amazon rainforest over time with remote sensing, and more. Researchers, teachers, and students working in the field of artificial intelligence, machine learning, and computer vision will benefit from the knowledge presented here on the diverse applications of computer vision and image processing"--