Computer vision

This book provides a unique treatment of an important area of machine learning and answers the question of how kernel methods can be applied to structured data.

The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases.

This book gives a comprehensive overview of the most advanced theories, methodologies and applications in computer vision.

This book discusses computer vision, a noncontact as well as a nondestructive technique involving the development of theoretical and algorithmic tools for automatic visual understanding and recognition which finds huge applications in agricultural productions.

Generative adversarial networks (GANs) were introduced by Ian Goodfellow and his co-authors including Yoshua Bengio in 2014, and were to referred by Yann Lecun (Facebook's AI research director) as "e;the most interesting idea in the last 10 years in ML.

This book focuses on deep learning-based methods for hyperspectral image (HSI) analysis.

This book provides a comprehensive introduction to quantum image processing, which focuses on extending conventional image processing tasks to the quantum computing frameworks.

At the fascinating frontiers of neurobiology, mathematics and psychophysics, this book addresses the problem of human and computer vision on the basis of cognitive modeling.

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

This book covers the latest advances in Cultural Algorithms, their general framework, different variants, hybridized versions with other meta-heuristic and search techniques, and their applications.

This book offers a systematic, comprehensive, and timely review on V-HAR, and it covers the related tasks,  cutting-edge technologies, and applications of V-HAR, especially the deep learning-based approaches.

This book contains peer-reviewed selected papers of the 7th International Conference on Educational Innovation (CIIE 2020).

This book is dedicated for engineers and researchers who would like to increase the knowledge in area of mobile mapping systems.

This book presents various computational and cognitive modeling approaches in the areas of health, education, finance, environment, engineering, commerce, and industry.

As technologies are fast advancing, the importance of text detection and recognition is receiving special attention from the researchers.

This book focuses on end-to-end robotic applications using vision and control algorithms, exposing its readers to design innovative solutions towards sensors-guided robotic bin-picking and assembly in an unstructured environment.

This book gathers outstanding research papers presented in the 2nd International Conference on Artificial Intelligence: Advances and Application (ICAIAA 2021), held in Poornima College of Engineering, Jaipur, India during 27-28 March 2021.

The book focuses on visual object tracking systems and approaches based on correlation filter and deep learning.

This book discusses recent advances in wearable technologies and personal monitoring devices, covering topics such as skin contact-based wearables (electrodes), non-contact wearables, the Internet of things (IoT), and signal processing for wearable devices.

This book offers a systematic and comprehensive introduction to the visual simultaneous localization and mapping (vSLAM) technology, which is a fundamental and essential component for many applications in robotics, wearable devices, and autonomous driving vehicles.

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 provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, robotics, applied mathematics, and electrical engineering.

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.