Advances in Decision Sciences, Image Processing, Security and Computer Vision, Suresh Chandra Satapathy; K. Srujan Raju; K. Shyam

Автор: Barfoot Timothy D
Название: State Estimation for Robotics
ISBN: 1107159393 ISBN-13(EAN): 9781107159396
Издательство: Cambridge Academ
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Цена: 95030.00 T
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Описание: This book is intended for students and practitioners of robotics who are interested in using noisy sensor data to estimate the position, orientation, and other state variables of robots as they move through the three-dimensional world. It covers classical and modern techniques commonly used in robotics today.

Название: Intelligent Computer Vision and Image Processing
ISBN: 1466639067 ISBN-13(EAN): 9781466639065
Издательство: Mare Nostrum (Eurospan)
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Цена: 184800.00 T
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Описание: Innovations in computer vision technology continue to advance the applications and design of image processing and its influence on multimedia applications. <em>Intelligent Computer Vision and Image Processing: Innovation, Application, and Design</em> provides methods and research on various disciplines related to the science and technology of machines. This reference source is essential for academicians, researchers, and practitioners interested in the latest developments and innovations in computer science, education, and security.

Название: Nonlinear eigenproblems in image processing and computer vision.
ISBN: 3319758462 ISBN-13(EAN): 9783319758466
Издательство: Springer
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Цена: 111790.00 T
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Описание: This unique text/reference presents a fresh look at nonlinear processing through nonlinear eigenvalue analysis, highlighting how one-homogeneous convex functionals can induce nonlinear operators that can be analyzed within an eigenvalue framework.

Автор: Chaudhuri
Название: Proceedings of 2nd International Conference on Computer Vision & Image Processing
ISBN: 9811078971 ISBN-13(EAN): 9789811078972
Издательство: Springer
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Цена: 139750.00 T
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Описание: The book provides insights into the Second International Conference on Computer Vision & Image Processing (CVIP-2017) organized by Department of Computer Science and Engineering of Indian Institute of Technology Roorkee. The topics covered in this book are image/video processing and analysis;

Название: Decision forests for computer vision and medical image analysis
ISBN: 1447149289 ISBN-13(EAN): 9781447149286
Издательство: Springer
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Цена: 149060.00 T
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Описание: This practical, easy-to-follow book reviews the theoretical underpinnings of decision forests, organizing the existing literature in a new, general-purpose forest model. Includes exercises and experiments; slides, videos and more reside at a companion website.

Автор: Anthony D. Joseph, Blaine Nelson, Benjamin I. P. Rubinstein, J. D. Tygar
Название: Adversarial Machine Learning
ISBN: 1107043468 ISBN-13(EAN): 9781107043466
Издательство: Cambridge Academ
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Цена: 83430.00 T
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Описание: Combining essential theory and practical techniques for analysing system security, and building robust machine learning in adversarial environments, as well as including case studies on email spam and network security, this complete introduction is an invaluable resource for researchers, practitioners and students in computer security and machine learning.

Автор: Liu Derong, Apippi Cesare, Zhao Dongbin
Название: Frontiers of Intelligent Control and Information Processing
ISBN: 9814616877 ISBN-13(EAN): 9789814616874
Издательство: World Scientific Publishing
Цена: 158400.00 T
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Описание: The current research and development in intelligent control and information processing have been driven increasingly by advancements made from fields outside the traditional control areas, into new frontiers of intelligent control and information processing so as to deal with ever more complex systems with ever growing size of data and complexity.

Автор: Suresh Chandra Satapathy; K. Srujan Raju; K. Shyam
Название: Advances in Decision Sciences, Image Processing, Security and Computer Vision
ISBN: 3030243214 ISBN-13(EAN): 9783030243210
Издательство: Springer
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Цена: 186330.00 T
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Описание: This book constitutes the proceedings of the First International Conference on Emerging Trends in Engineering (ICETE), held at University College of Engineering and organised by the Alumni Association, University College of Engineering, Osmania University, in Hyderabad, India on 22–23 March 2019.The proceedings of the ICETE are published in three volumes, covering seven areas: Biomedical, Civil, Computer Science, Electrical & Electronics, Electronics & Communication, Mechanical, and Mining Engineering. The 215 peer-reviewed papers from around the globe present the latest state-of-the-art research, and are useful to postgraduate students, researchers, academics and industry engineers working in the respective fields. Volume 1 presents papers on the theme “Advances in Decision Sciences, Image Processing, Security and Computer Vision – International Conference on Emerging Trends in Engineering (ICETE)”. It includes state-of-the-art technical contributions in the area of biomedical and computer science engineering, discussing sustainable developments in the field, such as instrumentation and innovation, signal and image processing, Internet of Things, cryptography and network security, data mining and machine learning.

Автор: B B Chaudhuri
Название: Advances in Digital Document Processing and Retrieval
ISBN: 9814368709 ISBN-13(EAN): 9789814368704
Издательство: World Scientific Publishing
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Цена: 118270.00 T
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Описание: Suitable for both students and researchers working on various aspects of document image analysis and recognition problems, this title covers such topics as: Going beyond the Myth of Paperlessness, The Role of Document Image Analysis in Trustworthy Elections as well as Word Recognition for Museum Index Cards with SNT-Grid.

Автор: Balasubramanian Raman; Sanjeev Kumar; Partha Prati
Название: Proceedings of International Conference on Computer Vision and Image Processing
ISBN: 9811021031 ISBN-13(EAN): 9789811021039
Издательство: Springer
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Цена: 260870.00 T
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Описание: This edited volume contains technical contributions in the field of computer vision and image processing presented at the First International Conference on Computer Vision and Image Processing (CVIP 2016). The contributions are thematically divided based on their relation to operations at the lower, middle and higher levels of vision systems, and their applications. The technical contributions in the areas of sensors, acquisition, visualization and enhancement are classified as related to low-level operations. They discuss various modern topics – reconfigurable image system architecture, Scheimpflug camera calibration, real-time autofocusing, climate visualization, tone mapping, super-resolution and image resizing. The technical contributions in the areas of segmentation and retrieval are classified as related to mid-level operations. They discuss some state-of-the-art techniques – non-rigid image registration, iterative image partitioning, egocentric object detection and video shot boundary detection. The technical contributions in the areas of classification and retrieval are categorized as related to high-level operations. They discuss some state-of-the-art approaches – extreme learning machines, and target, gesture and action recognition. A non-regularized state preserving extreme learning machine is presented for natural scene classification. An algorithm for human action recognition through dynamic frame warping based on depth cues is given. Target recognition in night vision through convolutional neural network is also presented. Use of convolutional neural network in detecting static hand gesture is also discussed. Finally, the technical contributions in the areas of surveillance, coding and data security, and biometrics and document processing are considered as applications of computer vision and image processing. They discuss some contemporary applications. A few of them are a system for tackling blind curves, a quick reaction target acquisition and tracking system, an algorithm to detect for copy-move forgery based on circle block, a novel visual secret sharing scheme using affine cipher and image interleaving, a finger knuckle print recognition system based on wavelet and Gabor filtering, and a palmprint recognition based on minutiae quadruplets.

Автор: Le Lu; Yefeng Zheng; Gustavo Carneiro; Lin Yang
Название: Deep Learning and Convolutional Neural Networks for Medical Image Computing
ISBN: 3319827138 ISBN-13(EAN): 9783319827131
Издательство: Springer
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Цена: 149060.00 T
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Описание: This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. introduces a novel approach to interleaved text and image deep mining on a large-scale radiology image database.

Автор: Guy Gilboa
Название: Nonlinear Eigenproblems in Image Processing and Computer Vision
ISBN: 3030093395 ISBN-13(EAN): 9783030093396
Издательство: Springer
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Цена: 71730.00 T
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Описание: This unique text/reference presents a fresh look at nonlinear processing through nonlinear eigenvalue analysis, highlighting how one-homogeneous convex functionals can induce nonlinear operators that can be analyzed within an eigenvalue framework. The text opens with an introduction to the mathematical background, together with a summary of classical variational algorithms for vision. This is followed by a focus on the foundations and applications of the new multi-scale representation based on non-linear eigenproblems. The book then concludes with a discussion of new numerical techniques for finding nonlinear eigenfunctions, and promising research directions beyond the convex case.Topics and features: introduces the classical Fourier transform and its associated operator and energy, and asks how these concepts can be generalized in the nonlinear case; reviews the basic mathematical notion, briefly outlining the use of variational and flow-based methods to solve image-processing and computer vision algorithms; describes the properties of the total variation (TV) functional, and how the concept of nonlinear eigenfunctions relate to convex functionals; provides a spectral framework for one-homogeneous functionals, and applies this framework for denoising, texture processing and image fusion; proposes novel ways to solve the nonlinear eigenvalue problem using special flows that converge to eigenfunctions; examines graph-based and nonlocal methods, for which a TV eigenvalue analysis gives rise to strong segmentation, clustering and classification algorithms; presents an approach to generalizing the nonlinear spectral concept beyond the convex case, based on pixel decay analysis; discusses relations to other branches of image processing, such as wavelets and dictionary based methods.This original work offers fascinating new insights into established signal processing techniques, integrating deep mathematical concepts from a range of different fields, which will be of great interest to all researchers involved with image processing and computer vision applications, as well as computations for more general scientific problems.