Computer vision

This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management.

This book contains the latest computational intelligence methodologies and applications.

This book discusses different types of distance functions defined in an n-D integral space for their usefulness in approximating the Euclidean metric.

Many AI (and machine learning) tasks present in dual forms, e.

This book comprehensively reviews the various automated and semi-automated signal and image processing techniques, as well as deep-learning-based image analysis techniques, used in healthcare diagnostics.

This book systematically discusses the basic concepts, theories, research and latest trends in image fusion.

Fingerprints are among the most widely used biometric modalities and have been successfully applied in various scenarios.

Deep reinforcement learning (DRL) is the combination of reinforcement learning (RL) and deep learning.

This book covers applications of machine learning in artificial intelligence.

This book discusses human emotion recognition from face images using different modalities, highlighting key topics in facial expression recognition, such as the grid formation, distance signature, shape signature, texture signature, feature selection, classifier design, and the combination of signatures to improve emotion recognition.

This book focuses on Web recommender systems, offering an overview of approaches to develop these state-of-the-art systems.

The book discusses major technical advances and research findings in the field of machine intelligence in medical image analysis.

This volume presents several multidisciplinary approaches to the visual representation of data acquired from experiments.

This book covers all main aspects of guidance information processing technologies for airborne optical imaging seekers, including theoretical models; image pre-processing; automatic target detection, recognition and tracking; and embedded real-time processing systems.

This book provides a unique, in-depth discussion of multiview learning, one of the fastest developing branches in machine learning.

This book introduces the applications of deep learning in various human centric visual analysis tasks, including classical ones like face detection and alignment and some newly rising tasks like fashion clothing parsing.

The book focuses on one of the key issues in document image processing - graphical symbol recognition, which is a sub-field of the larger research domain of pattern recognition.

This book systematically analyses the latest insights into night vision imaging processing and perceptual understanding as well as related theories and methods.

This book discusses systematic designs of stable adaptive fuzzy logic controllers employing hybridizations of Lyapunov strategy-based approaches/Hinfinity theory-based approaches and contemporary stochastic optimization techniques.

This book presents the state of the art in online visual tracking, including the motivations, practical algorithms, and experimental evaluations.

Written by world-renowned authors, this unique compendium presents the most updated progress in pattern recognition and computer vision (PRCV), fully reflecting the strong international research interests in the artificial intelligence arena.

This book gathers the proceedings of the 1st Global Civil Engineering Conference, GCEC 2017, held in Kuala Lumpur, Malaysia, on July 25-28, 2017.

This book presents state-of-the-art methodologies and a comprehensive introduction to the recognition and representation of species and individual animals based on their physiological and phenotypic appearances, biometric characteristics, and morphological image patterns.

The book describes several techniques used to bridge the semantic gap and reflects on recent advancements in content-based image retrieval (CBIR).

This book introduces the challenges of robotic tactile perception and task understanding, and describes an advanced approach based on machine learning and sparse coding techniques.

This book offers readers an essential introduction to the fundamentals of digital image processing.

This book focuses on novel approaches for thoracic computed tomography (CT) image registration and determination of respiratory motion models in a range of patient scenarios.

This book discusses the applications of signal and image processing in acoustical imaging.

The book includes insights that reflect the advances in the field of Internet of Things from upcoming researchers and leading academicians across the globe.

This book discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing.

This book provides detailed practical guidelines on how to develop an efficient pathological brain detection system, reflecting the latest advances in the computer-aided diagnosis of structural magnetic resonance brain images.

This volume contains selected revised and extended research articles written by prominent researchers who participated in the International MultiConference of Engineers and Computer Scientists 2016, held in Hong Kong, 16-18 March 2016.

This book examines paintings using a computational and quantitative approach.

This proceedings volume contains selected revised and extended research articles written by researchers who participated in the World Congress on Engineering and Computer Science 2015, held in San Francisco, USA, 21-23 October 2015.

This is the first book offering a systematic description of tongue image analysis and processing technologies and their typical applications in computerized tongue diagnostic (CTD) systems.

This volume presents selected peer-reviewed, revised and extended research articles written by prominent researchers who participated in the World Congress on Engineering 2015, held in London, UK, 1-3 July, 2015.

This book presents in a systematic manner the advanced technologies used for various modern robot applications.

Human action analyses and recognition are challenging problems due to large variations in human motion and appearance, camera viewpoint and environment settings.

This book consists of a number of chapters addressing different aspects of activity recognition, roughly in three main categories of topics.

This book presents practical information about hemispherical photography from the perspectives of field data acquisition, image processing and information retrieval methods.

The new multimedia standards (for example, MPEG-21) facilitate the seamless integration of multiple modalities into interoperable multimedia frameworks, transforming the way people work and interact with multimedia data.

Bayesian probability theory and maximum entropy methods are at the core of a new view of scientific inference.

The Twelfth International Workshop on Maximum Entropy and Bayesian Methods in Sciences and Engineering (MaxEnt 92) was held in Paris, France, at the Centre National de la Recherche Scientifique (CNRS), July 19-24, 1992.

Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering focuses on fuzzy clustering methods which have proven to be very powerful in pattern recognition and considers the entire process of dynamic pattern recognition.

MPEG-7 is the first international standard which contains a number of key techniques from Computer Vision and Image Processing.

Preface to Second Edition From the time that the original edition was published in 1985, multidimensional systems theory has matured into a discipline of research and teaching with an expanding array of applications.

Landmarks are preferred image features for a variety of computer vision tasks such as image mensuration, registration, camera calibration, motion analysis, 3D scene reconstruction, and object recognition.

Despite their novelty, wavelets have a tremendous impact on a number of modern scientific disciplines, particularly on signal and image analysis.