Books in Computer vision and pattern recognition

41-50 of 71 results in All results

Emerging Trends in Image Processing, Computer Vision and Pattern Recognition

• 1st Edition
• December 9, 2014
• Leonidas Deligiannidis + 1 more
• English
• Paperback 978-0-12-802045-6

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• eBook 978-0-12-802092-0

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Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition discusses the latest in trends in imaging science which at its core consists of three intertwined computer science fields, namely: Image Processing, Computer Vision, and Pattern Recognition. There is significant renewed interest in each of these three fields fueled by Big Data and Data Analytic initiatives including but not limited to; applications as diverse as computational biology, biometrics, biomedical imaging, robotics, security, and knowledge engineering. These three core topics discussed here provide a solid introduction to image processing along with low-level processing techniques, computer vision fundamentals along with examples of applied applications and pattern recognition algorithms and methodologies that will be of value to the image processing and computer vision research communities. Drawing upon the knowledge of recognized experts with years of practical experience and discussing new and novel applications Editors’ Leonidas Deligiannidis and Hamid Arabnia cover; Many perspectives of image processing spanning from fundamental mathematical theory and sampling, to image representation and reconstruction, filtering in spatial and frequency domain, geometrical transformations, and image restoration and segmentation Key application techniques in computer vision some of which are camera networks and vision, image feature extraction, face and gesture recognition and biometric authentication Pattern recognition algorithms including but not limited to; Supervised and unsupervised classification algorithms, Ensemble learning algorithms, and parsing algorithms. How to use image processing and visualization to analyze big data.

Face Detection and Recognition on Mobile Devices

• 1st Edition
• November 25, 2014
• Haowei Liu
• English
• eBook 978-0-12-417128-2

  9 7 8 - 0 - 1 2 - 4 1 7 1 2 8 - 2

This hands-on guide gives an overview of computer vision and enables engineers to understand the implications and challenges behind mobile platform design choices. Using face-related algorithms as examples, the author surveys and illustrates how design choices and algorithms can be geared towards developing power-saving and efficient applications on resource constrained mobile platforms.

Digital Picture Processing

• 2nd Edition
• Volume 2
• June 28, 2014
• Azriel Rosenfeld
• English
• eBook 978-1-4832-9478-0

  9 7 8 - 1 - 4 8 3 2 - 9 4 7 8 - 0

Computer Science and Applied Mathematics: Digital Picture Processing, Second Edition, Volume 2 focuses on picture or image processing, which is concerned with the manipulation and analysis of pictures by computer. This book emphasizes the three major subareas in picture processing—digitization and compression; enhancement, restoration, and reconstruction; and matching, description, and recognition. This volume is organized into four chapters. Chapter 9 discusses registration and matching, while Chapter 10 considers segmentation into parts. The representation of parts and geometric property measurement is elaborated in Chapter 11. The last chapter is devoted to the non-geometric properties, picture descriptions, and models for classes of pictures. This publication is suitable for specialists and professionals working in the field of digital picture processing.

Pattern Recognition in Practice IV: Multiple Paradigms, Comparative Studies and Hybrid Systems

• 1st Edition
• Volume 16
• June 28, 2014
• E.S. Gelsema + 1 more
• English
• eBook 978-1-4832-9784-2

  9 7 8 - 1 - 4 8 3 2 - 9 7 8 4 - 2

The era of detailed comparisons of the merits of techniques of pattern recognition and artificial intelligence and of the integration of such techniques into flexible and powerful systems has begun.So confirm the editors of this fourth volume of Pattern Recognition in Practice, in their preface to the book.The 42 quality papers are sourced from a broad range of international specialists involved in developing pattern recognition methodologies and those using pattern recognition techniques in their professional work. The publication is divided into six sections: Pattern Recognition, Signal and Image Processing, Probabilistic Reasoning, Neural Networks, Comparative Studies, and Hybrid Systems, giving prospective users a feeling for the applicability of the various methods in their particular field of specialization.

Pattern Recognition and Artificial Intelligence, Towards an Integration

• 1st Edition
• Volume 7
• June 28, 2014
• L.N. Kanal + 1 more
• English
• eBook 978-1-4832-9945-7

  9 7 8 - 1 - 4 8 3 2 - 9 9 4 5 - 7

This volume brings together the results of research into the methodology and applications of pattern recognition, with particular emphasis given to the incorporation of artificial intelligence methodologies into pattern recognition systems.The first part of this volume covers image analysis and processing software, systems and algorithms. Pattern analysis and classifier design are dealt with in part two, while the last part deals with model based and expert systems, including uncertainty calculus methods in pattern analysis and object recognition. A number of specific application areas are considered, including such diverse topics as fingerprinting, astronomy, molecular biology and pathology.

Image Modeling

• 1st Edition
• May 10, 2014
• Azriel Rosenfeld
• English
• eBook 978-1-4832-7560-4

  9 7 8 - 1 - 4 8 3 2 - 7 5 6 0 - 4

Image Modeling compiles papers presented at a workshop on image modeling in Rosemont, Illinois on August 6-7, 1979. This book discusses the mosaic models for textures, image segmentation as an estimation problem, and comparative analysis of line-drawing modeling schemes. The statistical models for the image restoration problem, use of Markov random fields as models of texture, and mathematical models of graphics are also elaborated. This text likewise covers the univariate and multivariate random field models for images, stochastic image models generated by random tessellations of the plane, and long crested wave models. Other topics include the Boolean model and random sets, structural basis for image description, and structure in co-occurrence matrices for texture analysis. This publication is useful to specialists and professionals working in the field of image processing.

Pattern Recognition in Practice II

• 1st Edition
• December 2, 2012
• L.N. Kanal + 1 more
• English
• eBook 978-0-444-59922-3

  9 7 8 - 0 - 4 4 4 - 5 9 9 2 2 - 3

The 1985 Amsterdam conference brought together researchers active in pattern recognition methodology and the development of practical applications. The first part of the book covers various methodological aspects of image processing, knowledge based and model driven image understanding systems, 3-D reconstruction methods, and application oriented papers. Part II deals with aspects of statistical pattern recognition, the problem of population classification, and topics common to both pattern recognition and artificial intelligence.

Computer Vision Technology in the Food and Beverage Industries

• 1st Edition
• August 13, 2012
• D-W Sun
• English
• eBook 978-0-85709-577-0

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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.

Feature Extraction and Image Processing for Computer Vision

• 3rd Edition
• August 3, 2012
• Mark Nixon
• English
• eBook 978-0-12-397824-0

  9 7 8 - 0 - 1 2 - 3 9 7 8 2 4 - 0

Feature Extraction and Image Processing for Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the exemplar code of the algorithms." Fully updated with the latest developments in feature extraction, including expanded tutorials and new techniques, this new edition contains extensive new material on Haar wavelets, Viola-Jones, bilateral filtering, SURF, PCA-SIFT, moving object detection and tracking, development of symmetry operators, LBP texture analysis, Adaboost, and a new appendix on color models. Coverage of distance measures, feature detectors, wavelets, level sets and texture tutorials has been extended.

Face Processing: Advanced Modeling and Methods

• 1st Edition
• July 28, 2011
• Wenyi Zhao + 1 more
• English
• eBook 978-0-08-048884-4

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Major strides have been made in face processing in the last ten years due to the fast growing need for security in various locations around the globe. A human eye can discern the details of a specific face with relative ease. It is this level of detail that researchers are striving to create with ever evolving computer technologies that will become our perfect mechanical eyes. The difficulty that confronts researchers stems from turning a 3D object into a 2D image. That subject is covered in depth from several different perspectives in this volume. Face Processing: Advanced Modeling and Methods begins with a comprehensive introductory chapter for those who are new to the field. A compendium of articles follows that is divided into three sections. The first covers basic aspects of face processing from human to computer. The second deals with face modeling from computational and physiological points of view. The third tackles the advanced methods, which include illumination, pose, expression, and more. Editors Zhao and Chellappa have compiled a concise and necessary text for industrial research scientists, students, and professionals working in the area of image and signal processing.