Recent Advances in Computer Vision

Download Recent Advances in Computer Vision PDF Online Free

Author :
Publisher : Springer
ISBN 13 : 3030030008
Total Pages : 430 pages
Book Rating : 4.0/5 (3 download)

DOWNLOAD NOW!


Book Synopsis Recent Advances in Computer Vision by : Mahmoud Hassaballah

Download or read book Recent Advances in Computer Vision written by Mahmoud Hassaballah and published by Springer. This book was released on 2018-12-14 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a collection of high-quality research by leading experts in computer vision and its applications. Each of the 16 chapters can be read independently and discusses the principles of a specific topic, reviews up-to-date techniques, presents outcomes, and highlights the challenges and future directions. As such the book explores the latest trends in fashion creative processes, facial features detection, visual odometry, transfer learning, face recognition, feature description, plankton and scene classification, video face alignment, video searching, and object segmentation. It is intended for postgraduate students, researchers, scholars and developers who are interested in computer vision and connected research disciplines, and is also suitable for senior undergraduate students who are taking advanced courses in related topics. However, it is also provides a valuable reference resource for practitioners from industry who want to keep abreast of recent developments in this dynamic, exciting and profitable research field.

Computer Vision Technology for Food Quality Evaluation

Download Computer Vision Technology for Food Quality Evaluation PDF Online Free

Author :
Publisher : Elsevier
ISBN 13 : 0080556248
Total Pages : 600 pages
Book Rating : 4.0/5 (85 download)

DOWNLOAD NOW!


Book Synopsis Computer Vision Technology for Food Quality Evaluation by : Da-Wen Sun

Download or read book Computer Vision Technology for Food Quality Evaluation written by Da-Wen Sun and published by Elsevier. This book was released on 2011-04-28 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first book in this rapidly expanding area, Computer Vision Technology for Food Quality Evaluation thoroughly discusses the latest advances in image processing and analysis. Computer vision has attracted much research and development attention in recent years and, as a result, significant scientific and technological advances have been made in quality inspection, classification and evaluation of a wide range of food and agricultural products. This unique work provides engineers and technologists working in research, development, and operations in the food industry with critical, comprehensive and readily accessible information on the art and science of computer vision technology. Undergraduate and postgraduate students and researchers in universities and research institutions will also find this an essential reference source.· Discusses novel technology for recognizing objects and extracting quantitative information from digital images in order to provide objective, rapid, non-contact and non-destructive quality evaluation. · International authors with both academic and professional credentials address in detail one aspect of the relevant technology per chapter making this ideal for textbook use· Divided into three parts, it begins with an outline of the fundamentals of the technology, followed by full coverage of the application in the most researched areas of meats and other foods, fruits, vegetables and grains.

Research Developments in Computer Vision and Image Processing

Download Research Developments in Computer Vision and Image Processing PDF Online Free

Author :
Publisher :
ISBN 13 : 9781466645585
Total Pages : 0 pages
Book Rating : 4.6/5 (455 download)

DOWNLOAD NOW!


Book Synopsis Research Developments in Computer Vision and Image Processing by : Rajeev Srivastava

Download or read book Research Developments in Computer Vision and Image Processing written by Rajeev Srivastava and published by . This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book brings together various research methodologies and trends in emerging areas of application of computer vision and image processing for those interested in the research developments of this rapidly growing field"--

Challenges and Applications for Implementing Machine Learning in Computer Vision

Download Challenges and Applications for Implementing Machine Learning in Computer Vision PDF Online Free

Author :
Publisher : IGI Global
ISBN 13 : 1799801845
Total Pages : 293 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!


Book Synopsis Challenges and Applications for Implementing Machine Learning in Computer Vision by : Kashyap, Ramgopal

Download or read book Challenges and Applications for Implementing Machine Learning in Computer Vision written by Kashyap, Ramgopal and published by IGI Global. This book was released on 2019-10-04 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing. There is a need for research that seeks to understand the development and efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a collection of innovative research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. Highlighting a wide range of topics such as video segmentation, object recognition, and 3D modelling, this publication is ideally designed for computer scientists, medical professionals, computer engineers, information technology practitioners, industry experts, scholars, researchers, and students seeking current research on the utilization of evolving computer vision techniques.

Recent Trends in Image and Signal Processing in Computer Vision

Download Recent Trends in Image and Signal Processing in Computer Vision PDF Online Free

Author :
Publisher : Springer Nature
ISBN 13 : 9811527407
Total Pages : 293 pages
Book Rating : 4.8/5 (115 download)

DOWNLOAD NOW!


Book Synopsis Recent Trends in Image and Signal Processing in Computer Vision by : Shruti Jain

Download or read book Recent Trends in Image and Signal Processing in Computer Vision written by Shruti Jain and published by Springer Nature. This book was released on 2020-03-04 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights recent advances and emerging technologies that utilize computational intelligence in signal processing, computing, imaging science, artificial intelligence, and their applications. It covers all branches of artificial intelligence and machine learning that are based on computation at some level, e.g. artificial neural networks, evolutionary algorithms, fuzzy systems, and automatic medical identification systems. Exploring recent trends in research and applications, the book offers a valuable resource for professors, researchers, and engineers alike.

Kernel Methods in Computer Vision

Download Kernel Methods in Computer Vision PDF Online Free

Author :
Publisher : Now Publishers Inc
ISBN 13 : 1601982682
Total Pages : 113 pages
Book Rating : 4.6/5 (19 download)

DOWNLOAD NOW!


Book Synopsis Kernel Methods in Computer Vision by : Christoph H. Lampert

Download or read book Kernel Methods in Computer Vision written by Christoph H. Lampert and published by Now Publishers Inc. This book was released on 2009 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: Few developments have influenced the field of computer vision in the last decade more than the introduction of statistical machine learning techniques. Particularly kernel-based classifiers, such as the support vector machine, have become indispensable tools, providing a unified framework for solving a wide range of image-related prediction tasks, including face recognition, object detection and action classification. By emphasizing the geometric intuition that all kernel methods rely on, Kernel Methods in Computer Vision provides an introduction to kernel-based machine learning techniques accessible to a wide audience including students, researchers and practitioners alike, without sacrificing mathematical correctness. It covers not only support vector machines but also less known techniques for kernel-based regression, outlier detection, clustering and dimensionality reduction. Additionally, it offers an outlook on recent developments in kernel methods that have not yet made it into the regular textbooks: structured prediction, dependency estimation and learning of the kernel function. Each topic is illustrated with examples of successful application in the computer vision literature, making Kernel Methods in Computer Vision a useful guide not only for those wanting to understand the working principles of kernel methods, but also for anyone wanting to apply them to real-life problems.

Computer Vision and Recognition Systems

Download Computer Vision and Recognition Systems PDF Online Free

Author :
Publisher : CRC Press
ISBN 13 : 1000401022
Total Pages : 285 pages
Book Rating : 4.0/5 (4 download)

DOWNLOAD NOW!


Book Synopsis Computer Vision and Recognition Systems by : Chiranji Lal Chowdhary

Download or read book Computer Vision and Recognition Systems written by Chiranji Lal Chowdhary and published by CRC Press. This book was released on 2022-03-10 with total page 285 pages. Available in PDF, EPUB and Kindle. Book 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.

Advancements in Computer Vision and Image Processing

Download Advancements in Computer Vision and Image Processing PDF Online Free

Author :
Publisher : IGI Global
ISBN 13 : 152255629X
Total Pages : 343 pages
Book Rating : 4.5/5 (225 download)

DOWNLOAD NOW!


Book Synopsis Advancements in Computer Vision and Image Processing by : Garcia-Rodriguez, Jose

Download or read book Advancements in Computer Vision and Image Processing written by Garcia-Rodriguez, Jose and published by IGI Global. This book was released on 2018-04-06 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interest in computer vision and image processing has grown in recent years with the advancement of everyday technologies such as smartphones, computer games, and social robotics. These advancements have allowed for advanced algorithms that have improved the processing capabilities of these technologies. Advancements in Computer Vision and Image Processing is a critical scholarly resource that explores the impact of new technologies on computer vision and image processing methods in everyday life. Featuring coverage on a wide range of topics including 3D visual localization, cellular automata-based structures, and eye and face recognition, this book is geared toward academicians, technology professionals, engineers, students, and researchers seeking current research on the development of sophisticated algorithms to process images and videos in real time.

Advances in Computer Vision

Download Advances in Computer Vision PDF Online Free

Author :
Publisher : Springer
ISBN 13 : 303017798X
Total Pages : 767 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!


Book Synopsis Advances in Computer Vision by : Kohei Arai

Download or read book Advances in Computer Vision written by Kohei Arai and published by Springer. This book was released on 2019-04-23 with total page 767 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a remarkable collection of chapters covering a wide range of topics in the areas of Computer Vision, both from theoretical and application perspectives. It gathers the proceedings of the Computer Vision Conference (CVC 2019), held in Las Vegas, USA from May 2 to 3, 2019. The conference attracted a total of 371 submissions from pioneering researchers, scientists, industrial engineers, and students all around the world. These submissions underwent a double-blind peer review process, after which 118 (including 7 poster papers) were selected for inclusion in these proceedings. The book’s goal is to reflect the intellectual breadth and depth of current research on computer vision, from classical to intelligent scope. Accordingly, its respective chapters address state-of-the-art intelligent methods and techniques for solving real-world problems, while also outlining future research directions. Topic areas covered include Machine Vision and Learning, Data Science, Image Processing, Deep Learning, and Computer Vision Applications.

Recent Trends in Image and Signal Processing in Computer Vision

Download Recent Trends in Image and Signal Processing in Computer Vision PDF Online Free

Author :
Publisher :
ISBN 13 : 9789811527418
Total Pages : pages
Book Rating : 4.5/5 (274 download)

DOWNLOAD NOW!


Book Synopsis Recent Trends in Image and Signal Processing in Computer Vision by :

Download or read book Recent Trends in Image and Signal Processing in Computer Vision written by and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights recent advances and emerging technologies that utilize computational intelligence in signal processing, computing, imaging science, artificial intelligence, and their applications. It covers all branches of artificial intelligence and machine learning that are based on computation at some level, e.g. artificial neural networks, evolutionary algorithms, fuzzy systems, and automatic medical identification systems. Exploring recent trends in research and applications, the book offers a valuable resource for professors, researchers, and engineers alike.

Seeing the Past with Computers

Download Seeing the Past with Computers PDF Online Free

Author :
Publisher : University of Michigan Press
ISBN 13 : 0472131117
Total Pages : 255 pages
Book Rating : 4.4/5 (721 download)

DOWNLOAD NOW!


Book Synopsis Seeing the Past with Computers by : Kevin Kee

Download or read book Seeing the Past with Computers written by Kevin Kee and published by University of Michigan Press. This book was released on 2019-01-24 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent developments in computer technology are providing historians with new ways to see—and seek to hear, touch, or smell—traces of the past. Place-based augmented reality applications are an increasingly common feature at heritage sites and museums, allowing historians to create immersive, multifaceted learning experiences. Now that computer vision can be directed at the past, research involving thousands of images can recreate lost or destroyed objects or environments, and discern patterns in vast datasets that could not be perceived by the naked eye. Seeing the Past with Computers is a collection of twelve thought-pieces on the current and potential uses of augmented reality and computer vision in historical research, teaching, and presentation. The experts gathered here reflect upon their experiences working with new technologies, share their ideas for best practices, and assess the implications of—and imagine future possibilities for—new methods of historical study. Among the experimental topics they explore are the use of augmented reality that empowers students to challenge the presentation of historical material in their textbooks; the application of seeing computers to unlock unusual cultural knowledge, such as the secrets of vaudevillian stage magic; hacking facial recognition technology to reveal victims of racism in a century-old Australian archive; and rebuilding the soundscape of an Iron Age village with aural augmented reality. This volume is a valuable resource for scholars and students of history and the digital humanities more broadly. It will inspire them to apply innovative methods to open new paths for conducting and sharing their own research.

Computer Vision Technology in the Food and Beverage Industries

Download Computer Vision Technology in the Food and Beverage Industries PDF Online Free

Author :
Publisher : Elsevier
ISBN 13 : 0857095773
Total Pages : 524 pages
Book Rating : 4.8/5 (57 download)

DOWNLOAD NOW!


Book Synopsis Computer Vision Technology in the Food and Beverage Industries by : D-W Sun

Download or read book Computer Vision Technology in the Food and Beverage Industries written by D-W Sun and published by Elsevier. This book was released on 2012-08-13 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of computer vision systems to control manufacturing processes and product quality has become increasingly important in food processing. Computer vision technology in the food and beverage industries reviews image acquisition and processing technologies and their applications in particular sectors of the food industry.Part one provides an introduction to computer vision in the food and beverage industries, discussing computer vision and infrared techniques for image analysis, hyperspectral and multispectral imaging, tomographic techniques and image processing. Part two goes on to consider computer vision technologies for automatic sorting, foreign body detection and removal, automated cutting and image analysis of food microstructure. Current and future applications of computer vision in specific areas of the food and beverage industries are the focus of part three. Techniques for quality control of meats are discussed alongside computer vision in the poultry, fish and bakery industries, including techniques for grain quality evaluation, and the evaluation and control of fruit, vegetable and nut quality.With its distinguished editor and international team of expert contributors, Computer vision technology in the food and beverage industries is an indispensible guide for all engineers and researchers involved in the development and use of state-of-the-art vision systems in the food industry. - Discusses computer vision and infrared techniques for image analysis, hyperspectral and multispectral imaging, tomographic techniques and image processing - Considers computer vision technologies for automatic sorting, foreign body detection and removal, automated cutting and image analysis of food microstructure - Examines techniques for quality control and computer vision in various industries including the poultry, fish and bakery, fruit, vegetable and nut industry

Recent Developments in Computer Vision

Download Recent Developments in Computer Vision PDF Online Free

Author :
Publisher :
ISBN 13 :
Total Pages : 604 pages
Book Rating : 4.:/5 (637 download)

DOWNLOAD NOW!


Book Synopsis Recent Developments in Computer Vision by : Stan Li

Download or read book Recent Developments in Computer Vision written by Stan Li and published by . This book was released on 1996 with total page 604 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence and Computer Vision

Download Artificial Intelligence and Computer Vision PDF Online Free

Author :
Publisher : Springer
ISBN 13 : 3319462458
Total Pages : 220 pages
Book Rating : 4.3/5 (194 download)

DOWNLOAD NOW!


Book Synopsis Artificial Intelligence and Computer Vision by : Huimin Lu

Download or read book Artificial Intelligence and Computer Vision written by Huimin Lu and published by Springer. This book was released on 2016-11-01 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book presents essential findings in the research fields of artificial intelligence and computer vision, with a primary focus on new research ideas and results for mathematical problems involved in computer vision systems. The book provides an international forum for researchers to summarize the most recent developments and ideas in the field, with a special emphasis on the technical and observational results obtained in the past few years.

Robotic Vision: Technologies for Machine Learning and Vision Applications

Download Robotic Vision: Technologies for Machine Learning and Vision Applications PDF Online Free

Author :
Publisher : IGI Global
ISBN 13 : 1466627034
Total Pages : 535 pages
Book Rating : 4.4/5 (666 download)

DOWNLOAD NOW!


Book Synopsis Robotic Vision: Technologies for Machine Learning and Vision Applications by : Garcia-Rodriguez, Jose

Download or read book Robotic Vision: Technologies for Machine Learning and Vision Applications written by Garcia-Rodriguez, Jose and published by IGI Global. This book was released on 2012-12-31 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robotic systems consist of object or scene recognition, vision-based motion control, vision-based mapping, and dense range sensing, and are used for identification and navigation. As these computer vision and robotic connections continue to develop, the benefits of vision technology including savings, improved quality, reliability, safety, and productivity are revealed. Robotic Vision: Technologies for Machine Learning and Vision Applications is a comprehensive collection which highlights a solid framework for understanding existing work and planning future research. This book includes current research on the fields of robotics, machine vision, image processing and pattern recognition that is important to applying machine vision methods in the real world.

Structured Learning and Prediction in Computer Vision

Download Structured Learning and Prediction in Computer Vision PDF Online Free

Author :
Publisher : Now Publishers Inc
ISBN 13 : 1601984561
Total Pages : 195 pages
Book Rating : 4.6/5 (19 download)

DOWNLOAD NOW!


Book Synopsis Structured Learning and Prediction in Computer Vision by : Sebastian Nowozin

Download or read book Structured Learning and Prediction in Computer Vision written by Sebastian Nowozin and published by Now Publishers Inc. This book was released on 2011 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: Structured Learning and Prediction in Computer Vision introduces the reader to the most popular classes of structured models in computer vision.

Machine Learning in Computer Vision

Download Machine Learning in Computer Vision PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 1402032757
Total Pages : 253 pages
Book Rating : 4.4/5 (2 download)

DOWNLOAD NOW!


Book Synopsis Machine Learning in Computer Vision by : Nicu Sebe

Download or read book Machine Learning in Computer Vision written by Nicu Sebe and published by Springer Science & Business Media. This book was released on 2005-10-04 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this book is to address the use of several important machine learning techniques into computer vision applications. An innovative combination of computer vision and machine learning techniques has the promise of advancing the field of computer vision, which contributes to better understanding of complex real-world applications. The effective usage of machine learning technology in real-world computer vision problems requires understanding the domain of application, abstraction of a learning problem from a given computer vision task, and the selection of appropriate representations for the learnable (input) and learned (internal) entities of the system. In this book, we address all these important aspects from a new perspective: that the key element in the current computer revolution is the use of machine learning to capture the variations in visual appearance, rather than having the designer of the model accomplish this. As a bonus, models learned from large datasets are likely to be more robust and more realistic than the brittle all-design models.