Advances In Computer Vision And Image Processing PDF Download
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| Author | : Garcia-Rodriguez, Jose |
| Publisher | : IGI Global |
| Total Pages | : 322 |
| Release | : 2018-04-06 |
| Genre | : Computers |
| ISBN | : 152255629X |
Download Advancements in Computer Vision and Image Processing Book in PDF, ePub and Kindle
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.
| Author | : Srivastava, Rajeev |
| Publisher | : IGI Global |
| Total Pages | : 451 |
| Release | : 2013-09-30 |
| Genre | : Computers |
| ISBN | : 1466645598 |
Download Research Developments in Computer Vision and Image Processing: Methodologies and Applications Book in PDF, ePub and Kindle
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.
| Author | : Mahmoud Hassaballah |
| Publisher | : Springer |
| Total Pages | : 425 |
| Release | : 2018-12-14 |
| Genre | : Technology & Engineering |
| ISBN | : 3030030008 |
Download Recent Advances in Computer Vision Book in PDF, ePub and Kindle
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.
| Author | : Thomas S. Huang |
| Publisher | : JAI Press(NY) |
| Total Pages | : 398 |
| Release | : 1986 |
| Genre | : Computers |
| ISBN | : |
Download Image Enhancement and Restoration Book in PDF, ePub and Kindle
| Author | : Manas Kamal Bhuyan |
| Publisher | : CRC Press |
| Total Pages | : 442 |
| Release | : 2019-11-05 |
| Genre | : Computers |
| ISBN | : 1351248383 |
Download Computer Vision and Image Processing Book in PDF, ePub and Kindle
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.
| Author | : Jim R. Parker |
| Publisher | : John Wiley & Sons |
| Total Pages | : 442 |
| Release | : 1997 |
| Genre | : Computers |
| ISBN | : |
Download Algorithms for Image Processing and Computer Vision Book in PDF, ePub and Kindle
A cookbook of the hottest new algorithms and cutting-edge techniques in image processing and computer vision This amazing book/CD package puts the power of all the hottest new image processing techniques and algorithms in your hands. Based on J. R. Parker's exhaustive survey of Internet newsgroups worldwide, Algorithms for Image Processing and Computer Vision answers the most frequently asked questions with practical solutions. Parker uses dozens of real-life examples taken from fields such as robotics, space exploration, forensic analysis, cartography, and medical diagnostics, to clearly describe the latest techniques for morphing, advanced edge detection, wavelets, texture classification, image restoration, symbol recognition, and genetic algorithms, to name just a few. And, best of all, he implements each method covered in C and provides all the source code on the CD. For the first time, you're rescued from the hours of mind-numbing mathematical calculations it would ordinarily take to program these state-of-the-art image processing capabilities into software. At last, nonmathematicians get all the shortcuts they need for sophisticated image recognition and processing applications. On the CD-ROM you'll find: * Complete code for examples in the book * A gallery of images illustrating the results of advanced techniques * A free GNU compiler that lets you run source code on any platform * A system for restoring damaged or blurred images * A genetic algorithms package
| Author | : Giovanni Maria Farinella |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 437 |
| Release | : 2013-09-24 |
| Genre | : Computers |
| ISBN | : 1447155203 |
Download Advanced Topics in Computer Vision Book in PDF, ePub and Kindle
This book presents a broad selection of cutting-edge research, covering both theoretical and practical aspects of reconstruction, registration, and recognition. The text provides an overview of challenging areas and descriptions of novel algorithms. Features: investigates visual features, trajectory features, and stereo matching; reviews the main challenges of semi-supervised object recognition, and a novel method for human action categorization; presents a framework for the visual localization of MAVs, and for the use of moment constraints in convex shape optimization; examines solutions to the co-recognition problem, and distance-based classifiers for large-scale image classification; describes how the four-color theorem can be used for solving MRF problems; introduces a Bayesian generative model for understanding indoor environments, and a boosting approach for generalizing the k-NN rule; discusses the issue of scene-specific object detection, and an approach for making temporal super resolution video.
| Author | : Kohei Arai |
| Publisher | : Springer |
| Total Pages | : 767 |
| Release | : 2019-04-23 |
| Genre | : Technology & Engineering |
| ISBN | : 303017798X |
Download Advances in Computer Vision Book in PDF, ePub and Kindle
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.
| Author | : Antonio Criminisi |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 367 |
| Release | : 2013-01-30 |
| Genre | : Computers |
| ISBN | : 1447149297 |
Download Decision Forests for Computer Vision and Medical Image Analysis Book in PDF, ePub and Kindle
This practical and easy-to-follow text explores the theoretical underpinnings of decision forests, organizing the vast existing literature on the field within a new, general-purpose forest model. Topics and features: with a foreword by Prof. Y. Amit and Prof. D. Geman, recounting their participation in the development of decision forests; introduces a flexible decision forest model, capable of addressing a large and diverse set of image and video analysis tasks; investigates both the theoretical foundations and the practical implementation of decision forests; discusses the use of decision forests for such tasks as classification, regression, density estimation, manifold learning, active learning and semi-supervised classification; includes exercises and experiments throughout the text, with solutions, slides, demo videos and other supplementary material provided at an associated website; provides a free, user-friendly software library, enabling the reader to experiment with forests in a hands-on manner.
| Author | : Kohei Arai |
| Publisher | : Springer |
| Total Pages | : 821 |
| Release | : 2019-04-23 |
| Genre | : Technology & Engineering |
| ISBN | : 3030177955 |
Download Advances in Computer Vision Book in PDF, ePub and Kindle
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 120 (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.
