Advanced Topics in Computer Vision
Advanced Topics in Computer Vision

Author: Giovanni Maria Farinella

Publisher: Springer Science & Business Media

Published: 2013-09-24

Total Pages: 437

ISBN-13: 1447155203

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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.

Advanced Topics on Computer Vision, Control and Robotics in Mechatronics
Advanced Topics on Computer Vision, Control and Robotics in Mechatronics

Author: Osslan Osiris Vergara Villegas

Publisher: Springer

Published: 2018-04-28

Total Pages: 431

ISBN-13: 331977770X

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The field of mechatronics (which is the synergistic combination of precision mechanical engineering, electronic control and systems thinking in the design of products and manufacturing processes) is gaining much attention in industries and academics. It was detected that the topics of computer vision, control and robotics are imperative for the successful of mechatronics systems. This book includes several chapters which report successful study cases about computer vision, control and robotics. The readers will have the latest information related to mechatronics, that contains the details of implementation, and the description of the test scenarios.

Recent Advances in Computer Vision
Recent Advances in Computer Vision

Author: Mahmoud Hassaballah

Publisher: Springer

Published: 2018-12-14

Total Pages: 425

ISBN-13: 3030030008

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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.

Advanced Methods and Deep Learning in Computer Vision
Advanced Methods and Deep Learning in Computer Vision

Author: E. R. Davies

Publisher: Academic Press

Published: 2021-11-09

Total Pages: 584

ISBN-13: 0128221496

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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

Advances in Computer Vision
Advances in Computer Vision

Author: Kohei Arai

Publisher: Springer

Published: 2019-04-23

Total Pages: 821

ISBN-13: 3030177955

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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.

Emerging Topics in Computer Vision and Its Applications
Emerging Topics in Computer Vision and Its Applications

Author: C. H. Chen

Publisher: World Scientific

Published: 2012

Total Pages: 508

ISBN-13: 9814343005

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This book gives a comprehensive overview of the most advanced theories, methodologies and applications in computer vision. Particularly, it gives an extensive coverage of 3D and robotic vision problems. Example chapters featured are Fourier methods for 3D surface modeling and analysis, use of constraints for calibration-free 3D Euclidean reconstruction, novel photogeometric methods for capturing static and dynamic objects, performance evaluation of robot localization methods in outdoor terrains, integrating 3D vision with force/tactile sensors, tracking via in-floor sensing, self-calibration of camera networks, etc. Some unique applications of computer vision in marine fishery, biomedical issues, driver assistance, are also highlighted.

Advances in Computer Vision
Advances in Computer Vision

Author: Kohei Arai

Publisher: Springer

Published: 2019-04-23

Total Pages: 767

ISBN-13: 303017798X

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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.

Computer Vision: Advanced Techniques and Applications
Computer Vision: Advanced Techniques and Applications

Author: Steve Holden

Publisher:

Published: 2019-06-05

Total Pages: 215

ISBN-13: 9781632408143

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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.

Advances in Computer Vision
Advances in Computer Vision

Author: C. Brown

Publisher: Psychology Press

Published: 2014-04-08

Total Pages: 248

ISBN-13: 1317767667

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First published in 1988. The series Advances in Computer Vision has the goal of presenting current approaches to basic problems that arise in the construction of a computer vision system, written by leading researchers and practitioners in the field. The first two volumes in the series comprise seven chapters, which together cover much of the scope of computer vision. This is Volume I.

Deep Learning in Computer Vision
Deep Learning in Computer Vision

Author: Mahmoud Hassaballah

Publisher: CRC Press

Published: 2020-03-23

Total Pages: 261

ISBN-13: 1351003801

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Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed. This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to-date techniques, and presents research findings to the computer vision community. The book covers a broad scope of topics in deep learning concepts and applications such as accelerating the convolutional neural network inference on field-programmable gate arrays, fire detection in surveillance applications, face recognition, action and activity recognition, semantic segmentation for autonomous driving, aerial imagery registration, robot vision, tumor detection, and skin lesion segmentation as well as skin melanoma classification. The content of this book has been organized such that each chapter can be read independently from the others. The book is a valuable companion for researchers, for postgraduate and possibly senior undergraduate students who are taking an advanced course in related topics, and for those who are interested in deep learning with applications in computer vision, image processing, and pattern recognition.