Название: Dense image correspondences for computer vision ISBN: 3319230476 ISBN-13(EAN): 9783319230474 Издательство: Springer Рейтинг: Цена: 16979.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Dense Image Correspondences for Computer Vision
Автор: Victor Lazzarini Название: Computer Music Instruments II ISBN: 3030137112 ISBN-13(EAN): 9783030137113 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is divided into two parts. The chapters in Part I offer a comprehensive introduction to the C language and to fundamental programming concepts, followed by an explanation of realtime audio programming, including audio synthesis and processing. The chapters in Part II demonstrate how the object-oriented programming paradigm is useful in the modelling of computer music instruments, each chapter shows a set of instrument components that are paired with key C++ programming concepts. Ultimately the author discusses the development of a fully-fledged object-oriented library. Together with its companion volume, Computer Music Instruments: Foundations, Design and Development, this book provides a comprehensive treatment of computational instruments for sound and music. It is suitable for advanced undergraduate and postgraduate students in music and signal processing, and for practitioners and researchers. Some understanding of acoustics and electronic music would be helpful to understand some applications, but it's not strictly necessary to have prior knowledge of audio DSP or programming, while C / C++ programmers with no experience of audio may be able to start reading the chapters that deal with sound and music computing.
Автор: P. Swarnalatha, Prabu Sevugan Название: Big Data Analytics for Satellite Image Processing and Remote Sensing ISBN: 1522536434 ISBN-13(EAN): 9781522536437 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 31324.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The scope of image processing and recognition has broadened due to the gap in scientific visualization. Thus, new imaging techniques have developed, and it is imperative to study this progression for optimal utilization.Big Data Analytics for Satellite Image Processing and Remote Sensing is a critical scholarly resource that examines the challenges and difficulties of implementing big data in image processing for remote sensing and related areas. Featuring coverage on a broad range of topics, such as distributed computing, parallel processing, and spatial data, this book is geared towards scientists, professionals, researchers, and academicians seeking current research on the use of big data analytics in satellite image processing and remote sensing.
Автор: Jacob Scharcanski; M. Emre Celebi Название: Computer Vision Techniques for the Diagnosis of Skin Cancer ISBN: 3642396070 ISBN-13(EAN): 9783642396076 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Although computerized techniques cannot as yet provide a definitive diagnosis, they can be used to improve biopsy decision-making as well as early melanoma detection, especially for patients with multiple atypical nevi.
Автор: Amar Mitiche; J.K. Aggarwal Название: Computer Vision Analysis of Image Motion by Variational Methods ISBN: 3319007106 ISBN-13(EAN): 9783319007106 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a unified view of image motion analysis under the variational framework. It addresses the four core subjects of motion analysis: motion estimation, detection, tracking, and three-dimensional interpretation.
Название: Introduction to Computer Networking ISBN: 3319531026 ISBN-13(EAN): 9783319531021 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Topics include network technology such as wired and wireless networks, enabling technologies such as data centers, software defined networking, cloud and grid computing and applications such as networks on chips, space networking and network security.
Автор: Roberto Cipolla; Sebastiano Battiato; Giovanni Mar Название: Computer Vision ISBN: 3642128475 ISBN-13(EAN): 9783642128479 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Computer vision is the science and technology of making machines that see. This edited volume contains a selection of articles covering some of the talks and tutorials held during the first two meetings of the International Computer Vision Summer School.
Автор: Guger Christoph Название: Brain-computer-interface Research ISBN: 3642360823 ISBN-13(EAN): 9783642360824 Издательство: Springer Рейтинг: Цена: 8489.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Brain-computer interfaces (BCIs) are rapidly developing into a mainstream, worldwide research endeavor. This Brief gives a concise but carefully illustrated and fully up-to-date description of each of these projects, together with an introduction and concluding chapter by the editors.
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: Mongi A. Abidi; Andrei V. Gribok; Joonki Paik Название: Optimization Techniques in Computer Vision ISBN: 3319463632 ISBN-13(EAN): 9783319463636 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents practical optimization techniques used in image processing and computer vision problems. Ill-posed problems are introduced and used as examples to show how each type of problem is related to typical image processing and computer vision problems. Unconstrained optimization gives the best solution based on numerical minimization of a single, scalar-valued objective function or cost function. Unconstrained optimization problems have been intensively studied, and many algorithms and tools have been developed to solve them. Most practical optimization problems, however, arise with a set of constraints. Typical examples of constraints include: (i) pre-specified pixel intensity range, (ii) smoothness or correlation with neighboring information, (iii) existence on a certain contour of lines or curves, and (iv) given statistical or spectral characteristics of the solution. Regularized optimization is a special method used to solve a class of constrained optimization problems. The term regularization refers to the transformation of an objective function with constraints into a different objective function, automatically reflecting constraints in the unconstrained minimization process. Because of its simplicity and efficiency, regularized optimization has many application areas, such as image restoration, image reconstruction, optical flow estimation, etc.
Optimization plays a major role in a wide variety of theories for image processing and computer vision. Various optimization techniques are used at different levels for these problems, and this volume summarizes and explains these techniques as applied to image processing and computer vision.
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