Empirical Evaluation Methods In Computer Vision
Empirical Evaluation Methods In Computer Vision

Author: Henrik I Christensen

Publisher: World Scientific

Published: 2002-05-08

Total Pages: 170

ISBN-13: 9814488526

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This book provides comprehensive coverage of methods for the empirical evaluation of computer vision techniques. The practical use of computer vision requires empirical evaluation to ensure that the overall system has a guaranteed performance.The book contains articles that cover the design of experiments for evaluation, range image segmentation, the evaluation of face recognition and diffusion methods, image matching using correlation methods, and the performance of medical image processing algorithms.

Empirical Evaluation Techniques in Computer Vision
Empirical Evaluation Techniques in Computer Vision

Author: Kevin W. Bowyer

Publisher: Wiley-IEEE Computer Society Press

Published: 1998-07-11

Total Pages: 272

ISBN-13:

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Empirical Evaluation Techniques in Computer Vision presents methods that allow comparative assessment of algorithms and the accompanying benefits: places computer vision on solid experimental and scientific grounds, assists the development of engineering solutions to practical problems, allows accurate assessments of computer vision research, provides convincing evidence that computer vision research results in practical solutions. The chapters in this volume cover the three main paradigms for evaluating computer vision algorithms. The paradigms are: (1) evaluations that are independently administered, (2) evaluation of a set of algorithms by one research group, and (3) evaluation methods that feature ground truthing procedures as a major component.

Empirical Evaluation Methods in Computer Vision
Empirical Evaluation Methods in Computer Vision

Author: Henrik I. Christensen

Publisher: World Scientific

Published: 2002

Total Pages: 170

ISBN-13: 9810249535

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This book provides comprehensive coverage of methods for the empirical evaluation of computer vision techniques. The practical use of computer vision requires empirical evaluation to ensure that the overall system has a guaranteed performance. The book contains articles that cover the design of experiments for evaluation, range image segmentation, the evaluation of face recognition and diffusion methods, image matching using correlation methods, and the performance of medical image processing algorithms.

Robust and Multivariate Statistical Methods
Robust and Multivariate Statistical Methods

Author: Mengxi Yi

Publisher: Springer Nature

Published: 2023-04-19

Total Pages: 500

ISBN-13: 3031226879

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This book presents recent developments in multivariate and robust statistical methods. Featuring contributions by leading experts in the field it covers various topics, including multivariate and high-dimensional methods, time series, graphical models, robust estimation, supervised learning and normal extremes. It will appeal to statistics and data science researchers, PhD students and practitioners who are interested in modern multivariate and robust statistics. The book is dedicated to David E. Tyler on the occasion of his pending retirement and also includes a review contribution on the popular Tyler’s shape matrix.

Handbook of Artificial Intelligence
Handbook of Artificial Intelligence

Author: Dumpala Shanthi

Publisher: Bentham Science Publishers

Published: 2023-11-13

Total Pages: 297

ISBN-13: 9815124528

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Artificial Intelligence (AI) is an interdisciplinary science with multiple approaches to solve a problem. Advancements in machine learning (ML) and deep learning are creating a paradigm shift in virtually every tech industry sector. This handbook provides a quick introduction to concepts in AI and ML. The sequence of the book contents has been set in a way to make it easy for students and teachers to understand relevant concepts with a practical orientation. This book starts with an introduction to AI/ML and its applications. Subsequent chapters cover predictions using ML, and focused information about AI/ML algorithms for different industries (health care, agriculture, autonomous driving, image classification and segmentation, SEO, smart gadgets and security). Each industry use-case demonstrates a specific aspect of AI/ML techniques that can be used to create pipelines for technical solutions such as data processing, object detection, classification and more. Additional features of the book include a summary and references in every chapter, and several full-color images to visualize concepts for easy understanding. It is an ideal handbook for both students and instructors in undergraduate level courses in artificial intelligence, data science, engineering and computer science who are required to understand AI/ML in a practical context.

2-D and 3-D Image Registration
2-D and 3-D Image Registration

Author: Arthur Ardeshir Goshtasby

Publisher: John Wiley & Sons

Published: 2005-03-18

Total Pages: 284

ISBN-13: 0471724262

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To master the fundamentals of image registration, there is no more comprehensive source than 2-D and 3-D Image Registration. In addition to delving into the relevant theories of image registration, the author presents their underlying algorithms. You'll also discover cutting-edge techniques to use in remote sensing, industrial, and medical applications. Examples of image registration are presented throughout, and the companion Web site contains all the images used in the book and provides links to software and algorithms discussed in the text, allowing you to reproduce the results in the text and develop images for your own research needs. 2-D and 3-D Image Registration serves as an excellent textbook for classes in image registration as well as an invaluable working resource.

Verbal and Nonverbal Features of Human-Human and Human-Machine Interaction
Verbal and Nonverbal Features of Human-Human and Human-Machine Interaction

Author: Anna Esposito

Publisher: Springer Science & Business Media

Published: 2008-12-18

Total Pages: 292

ISBN-13: 3540708715

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This book is dedicated to the dreamers, their dreams, and their perseverance in research work. This volume brings together the selected and peer–reviewed contributions of the p- ticipants at the COST 2102 International Conference on Verbal and Nonverbal F- tures of Human–Human and Human–Machine Interaction, held in Patras, Greece, October 29–31, 2007, hosted by the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008). The conference was sponsored by COST (European Cooperation in the Field of Scientific and Technical Research, www.cost.esf.org ) in the domain of Information and Communication Technologies (ICT) for disseminating the advances of the - search activity developed within COST Action 2102: “Cross-Modal Analysis of V- bal and Nonverbal Communication”(www.cost2102.eu). COST Action 2102 is a network of about 60 European and 6 overseas laboratories whose aim is to develop “an advanced acoustical, perceptual and psychological analysis of verbal and non-verbal communication signals originating in spontaneous face-to-face interaction, in order to identify algorithms and automatic procedures capable of identifying the human emotional states. Particular care is devoted to the recognition of emotional states, gestures, speech and facial expressions, in antici- tion of the implementation of intelligent avatars and interactive dialogue systems that could be exploited to improve user access to future telecommunication services”(see COST 2102 Memorandum of Understanding (MoU) www.cost2102.eu).

Video-Based Surveillance Systems
Video-Based Surveillance Systems

Author: Graeme A. Jones

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 277

ISBN-13: 1461509130

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Monitoring of public and private sites has increasingly become a very sensitive issue resulting in a patchwork of privacy laws varying from country to country -though all aimed at protecting the privacy of the citizen. It is important to remember, however, that monitoring and vi sual surveillance capabilities can also be employed to aid the citizen. The focus of current development is primarily aimed at public and cor porate safety applications including the monitoring of railway stations, airports, and inaccessible or dangerous environments. Future research effort, however, has already targeted citizen-oriented applications such as monitoring assistants for the aged and infirm, route-planning and congestion-avoidance tools, and a range of environment al monitoring applications. The latest generation of surveillance systems has eagerly adopted re cent technological developments to produce a fully digital pipeline of digital image acquisition, digital data transmission and digital record ing. The resultant surveillance products are highly-fiexihle, capahle of generating forensic-quality imagery, and ahle to exploit existing Internet and wide area network services to provide remote monitoring capability.

Machine Learning in Medical Imaging
Machine Learning in Medical Imaging

Author: Heung-Il Suk

Publisher: Springer Nature

Published: 2019-10-09

Total Pages: 711

ISBN-13: 3030326926

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This book constitutes the proceedings of the 10th International Workshop on Machine Learning in Medical Imaging, MLMI 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 78 papers presented in this volume were carefully reviewed and selected from 158 submissions. They focus on major trends and challenges in the area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc.