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Advances in Computer Vision and Pattern Recognition

Advances in Computer Vision and Pattern Recognition
85 Jahrgänge | 2001 - 2021


Titles in this series now included in the Thomson Reuters Book Citation Index!

Advances in Computer Vision and Pattern Recognition is a series of books which brings together current developments in all areas of this multi-disciplinary topic. It covers both theoretical and applied aspects of pattern recognition, and provides texts for students and senior researchers in areas including, but not limited to:

  • Computer vision
  • Biological vision
  • Signal processing
  • Image processing and analysis
  • Video processing and analysis
  • Document analysis
  • Character recognition
  • Speech analysis and recognition
  • Biometrics
  • Multimedia
  • Virtual reality
  • Neural networks
  • Machine vision and learning
  • Robotics
  • Industrial control and automation
  • Genetic algorithms and evolutionary computing
  • Intelligent forecasting

Alle Bücher der Reihe Advances in Computer Vision and Pattern Recognition

2021 | Buch

Probabilistic Graphical Models

Principles and Applications

This fully updated new edition of a uniquely accessible textbook/reference provides a general introduction to probabilistic graphical models (PGMs) from an engineering perspective. It features new material on partially observable Markov decision …

2021 | Buch

Deep Learning-Based Face Analytics

This book provides an overview of different deep learning-based methods for face recognition and related problems. Specifically, the authors present methods based on autoencoders, restricted Boltzmann machines, and deep convolutional neural …

2020 | Open Access | Buch Open Access

Handbook of Vascular Biometrics

This open access handbook provides the first comprehensive overview of biometrics exploiting the shape of human blood vessels for biometric recognition, i.e. vascular biometrics, including finger vein recognition, hand/palm vein recognition …

2020 | Buch

Unsupervised Learning in Space and Time

A Modern Approach for Computer Vision using Graph-based Techniques and Deep Neural Networks

This book addresses one of the most important unsolved problems in artificial intelligence: the task of learning, in an unsupervised manner, from massive quantities of spatiotemporal visual data that are available at low cost. The book covers …

2020 | Buch

Hyperspectral Image Analysis

Advances in Machine Learning and Signal Processing

This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. It …

2020 | Buch

Active Lighting and Its Application for Computer Vision

40 Years of History of Active Lighting Techniques

This book describes active illumination techniques in computer vision. We can classify computer vision techniques into two classes: passive and active techniques. Passive techniques observe the scene statically and analyse it as is. Active …

2020 | Buch

Advances in Photometric 3D-Reconstruction

This book presents the latest advances in photometric 3D reconstruction. It provides the reader with an overview of the state of the art in the field, and of the latest research into both the theoretical foundations of photometric 3D …

2019 | Buch

Hierarchical Perceptual Grouping for Object Recognition

Theoretical Views and Gestalt-Law Applications

This unique text/reference presents a unified approach to the formulation of Gestalt laws for perceptual grouping, and the construction of nested hierarchies by aggregation utilizing these laws. The book also describes the extraction of such …

2019 | Buch

Handbook of Biometric Anti-Spoofing

Presentation Attack Detection

This authoritative and comprehensive handbook is the definitive work on the current state of the art of Biometric Presentation Attack Detection (PAD) – also known as Biometric Anti-Spoofing. Building on the success of the previous, pioneering …

2019 | Buch

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

This book reviews the state of the art in deep learning approaches to high-performance robust disease detection, robust and accurate organ segmentation in medical image computing (radiological and pathological imaging modalities), and the …

2019 | Buch

Selfie Biometrics

Advances and Challenges

This book highlights the field of selfie biometrics, providing a clear overview and presenting recent advances and challenges. It also discusses numerous selfie authentication techniques on mobile devices. Biometric authentication using mobile …

2019 | Buch

RGB-D Image Analysis and Processing

This book focuses on the fundamentals and recent advances in RGB-D imaging as well as covering a range of RGB-D applications. The topics covered include: data acquisition, data quality assessment, filling holes, 3D reconstruction, SLAM, multiple …

2018 | Buch

Nonlinear Eigenproblems in Image Processing and Computer Vision

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.

2018 | Buch

Denoising of Photographic Images and Video

Fundamentals, Open Challenges and New Trends

This unique text/reference presents a detailed review of noise removal for photographs and video. An international selection of expert contributors provide their insights into the fundamental challenges that remain in the field of denoising …

2018 | Buch

Contactless 3D Fingerprint Identification

This important text/reference presents the first dedicated review of techniques for contactless 3D fingerprint identification, including novel and previously unpublished research. The text provides a systematic introduction to 3D fingerprint …

2017 | Buch

Handbook of Biometrics for Forensic Science

This comprehensive handbook addresses the sophisticated forensic threats and challenges that have arisen in the modern digital age, and reviews the new computing solutions that have been proposed to tackle them. These include identity-related …

2017 | Buch

Visual Attributes

This unique text/reference provides a detailed overview of the latest advances in machine learning and computer vision related to visual attributes, highlighting how this emerging field intersects with other disciplines, such as computational …

2017 | Buch

Guide to Medical Image Analysis

Methods and Algorithms

This comprehensive guide provides a uniquely practical, application-focused introduction to medical image analysis. This fully updated new edition has been enhanced with material on the latest developments in the field, whilst retaining the …

2017 | Buch

Deep Learning and Convolutional Neural Networks for Medical Image Computing

Precision Medicine, High Performance and Large-Scale Datasets

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. A particular focus is placed on the …

2017 | Buch

Deep Learning for Biometrics

This timely text/reference presents a broad overview of advanced deep learning architectures for learning effective feature representation for perceptual and biometrics-related tasks. The text offers a showcase of cutting-edge research on the use …