Автор: Thrun, Sebastian Название: Probabilistic robotics ISBN: 0262201623 ISBN-13(EAN): 9780262201629 Издательство: Random House (USA) Рейтинг: Цена: 15173.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
An introduction to the techniques and algorithms of the newest field in robotics.
Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, www.probabilistic-robotics.org, has additional material. The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data.
Автор: Giri Kaiser J., Parah Shabir Ahmad, Bashir Rumaan Название: Multimedia Security: Algorithm Development, Analysis and Applications ISBN: 9811587108 ISBN-13(EAN): 9789811587108 Издательство: Springer Рейтинг: Цена: 19514.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is a collection of outstanding content written by experts working in the field of multimedia security. However, security of multimedia is giving tough time to the research community around the globe, due to ever-increasing and efficient attacks carried out on multimedia data by intruders, eves-droppers and hackers.
Автор: Roumen Kountchev; Kazumi Nakamatsu Название: Advances in Reasoning-Based Image Processing Intelligent Systems ISBN: 364244623X ISBN-13(EAN): 9783642446238 Издательство: Springer Рейтинг: Цена: 20516.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Foregrounding contemporary techniques for reasoning-based image processing and analysis, the 14 chapters in this book are self-contained monographs covering a broad spectrum of complementary topics, all written by leading experts working in the field.
Автор: Mandal J. K., Banerjee Soumen Название: Intelligent Computing: Image Processing Based Applications ISBN: 9811542872 ISBN-13(EAN): 9789811542879 Издательство: Springer Рейтинг: Цена: 6097.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It includes research on the detection of skin disease, breast tumors, lung cancer and rotten fruit based on intelligent image processing applications, intelligent computing, neuro-fuzzy applications, soil moisture prediction, intelligent encryption and authentication, as well as image analysis and image analytics.
Автор: Yuval Fisher Название: Fractal Image Encoding and Analysis ISBN: 3540631968 ISBN-13(EAN): 9783540631965 Издательство: Springer Рейтинг: Цена: 25491.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Discusses fractal image compression and decompression, including both continuous and discrete formulations, vector space and hierarchical methods, and algorithmic optimizations. It also looks at multifractal approaches to image analysis, segmentation and recognition, including medical applications.
Автор: Halina Kwasnicka; Lakhmi C. Jain Название: Innovations in Intelligent Image Analysis ISBN: 3642267203 ISBN-13(EAN): 9783642267208 Издательство: Springer Рейтинг: Цена: 22796.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book sets out an array of new and important research in the field of image processing and analysis. Covering a range of topics, the chapters include a number of case studies as well as some of the most state-of-the-art image analysis methodologies.
Автор: Roumen Kountchev; Kazumi Nakamatsu Название: New Approaches in Intelligent Image Analysis ISBN: 3319321900 ISBN-13(EAN): 9783319321905 Издательство: Springer Рейтинг: Цена: 18237.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
New Approaches in Intelligent Image Analysis- Techniques, Methodologies and Applications.- New Approaches for Hierarchical Image Decomposition, based on IDP, SVD, PCA and KPCA.- Intelligent Digital Signal Processing and Feature Extraction Methods.- Multi-Dimensional Data Clustering and Visualization via Echo State Networks.- Unsupervised Clustering of Natural Images in Automatic Image Annotation Systems.- An Evolutionary Optimization Control System for Remote Sensing Image Processing.- Tissue Segmentation Methods using 2D Histogram Modification in a Sequence of MR Brain Images.- Multistage Approach for Simple Kidney Cysts Segmentation in CT Images.- Audio Visual Attention Models in Mobile Robots Navigation.- Local Adaptive Image Processing.- Learning Techniques for Intelligent Access Control.- Experimental Evaluation of Opportunity to Improve the Resolution of the Acoustic Maps.
Описание: Comprising papers on diverse aspects of bio-inspired models, soft computing and hybrid intelligent systems, the articles in this book are divided into four main parts that cover important research areas such as fuzzy and bio-inspired problem-solving models.
Описание: Comprising papers on diverse aspects of bio-inspired models, soft computing and hybrid intelligent systems, the articles in this book are divided into four main parts that cover important research areas such as fuzzy and bio-inspired problem-solving models.
Описание: Whether an old photograph or a single video frame, there is a wealth of data hidden in a picture. Image processing and pattern analysis play a vital role in engineering science and can be applied in diverse areas to solve existing and practical problems.The Handbook of Research on Emerging Perspectives in Intelligent Pattern Recognition, Analysis, and Image Processing discusses the advances of image processing and pattern analysis and addresses how new innovations will cater to the demands of daily life. This handbook provides the resources necessary for technology developers, scientists, and policymakers to adopt and implement new inventions across the globe.The chapters presented in this publication encompass various aspects of recent image processing and pattern analysis innovations including, but not limited to, mobile image tracking, motion picture analysis, pattern classification, multisensory data fusion, 3D imaging, supporting routing protocols, brain computer interfaces, image restoration, and medical imaging.
Автор: Kwa?nicka Название: Bridging the Semantic Gap in Image and Video Analysis ISBN: 3319738909 ISBN-13(EAN): 9783319738901 Издательство: Springer Рейтинг: Цена: 6097.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Semantic Gap in Image and Video Analysis: An Introduction.- Low-Level Feature Detectors and Descriptors for Smart Image and Video Analysis: A Comparative Study.- Scale-insensitive MSER Features: A Promising Tool for Meaningful Segmentation of Images.- Active Partitions in Localization of Semantically Important Image Structures.- Model-based 3D Object recognition in RGB-D Images.- Ontology-Based Structured Video Annotation for Content-Based Video Retrieval via Spatiotemporal Reasoning.- Deep Learning - a New Era in Bridging the Semantic Gap.
Автор: Halina Kwa?nicka; Lakhmi C. Jain Название: Bridging the Semantic Gap in Image and Video Analysis ISBN: 3030088790 ISBN-13(EAN): 9783030088798 Издательство: Springer Рейтинг: Цена: 10610.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents cutting-edge research on various ways to bridge the semantic gap in image and video analysis. The respective chapters address different stages of image processing, revealing that the first step is a future extraction, the second is a segmentation process, the third is object recognition, and the fourth and last involve the semantic interpretation of the image.The semantic gap is a challenging area of research, and describes the difference between low-level features extracted from the image and the high-level semantic meanings that people can derive from the image. The result greatly depends on lower level vision techniques, such as feature selection, segmentation, object recognition, and so on. The use of deep models has freed humans from manually selecting and extracting the set of features. Deep learning does this automatically, developing more abstract features at the successive levels. The book offers a valuable resource for researchers, practitioners, students and professors in Computer Engineering, Computer Science and related fields whose work involves images, video analysis, image interpretation and so on.
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