Skip to main content
Elsevier
View Cart

Books in Computer vision and pattern recognition

This collection includes research on image analysis, object detection, facial recognition, and pattern analysis. Showcasing state-of-the-art algorithms, practical applications, and case studies, it supports researchers, developers, and students in advancing visual understanding systems. Emphasizing deep learning, biometrics, and real-time processing, these resources enable innovations in security, healthcare, robotics, and multimedia.

BooksJournals

    • Image Processing and Pattern Recognition

      • 1st Edition
      • Volume 5
      • December 11, 1997
      • Cornelius T. Leondes
      • English
      • Hardback
        9 7 8 0 1 2 4 4 3 8 6 5 1
      • eBook
        9 7 8 0 0 8 0 5 5 1 4 4 9
      Image Processing and Pattern Recognition covers major applications in the field, including optical character recognition, speech classification, medical imaging, paper currency recognition, classification reliability techniques, and sensor technology. The text emphasizes algorithms and architectures for achieving practical and effective systems, and presents many examples. Practitioners, researchers, and students in computer science, electrical engineering, andradiology, as well as those working at financial institutions, will value this unique and authoritative reference to diverse applications methodologies.

    • Time-Varying Image Processing and Moving Object Recognition, 4

      • 1st Edition
      • July 25, 1997
      • V. Cappellini
      • English
      • Paperback
        9 7 8 0 4 4 4 5 4 0 9 5 9
      • eBook
        9 7 8 0 0 8 0 5 4 3 0 6 2
      New digital image processing and recognition methods, implementation techniques and advanced applications (television, remote sensing, biomedicine, traffic, inspection, robotics, etc.) are presented in this volume. Novel approaches (i.e. digital filters, source coding, neural networks etc.) for solving 2-D and 3-D problems are described. Many papers focus on the motion estimation and tracking recognition of moving objects. The increasingly important field of Cultural Heritage is also covered. Some papers are more theoretical or of review nature, while others contain new implementations and applications. Generally the book presents - for the above outlined area - the state of the art (theory, implementation, applications) with future trends.This book will be of interest not only to researchers, professors and students in university departments of engineering, communications, computers and automatic control, but also to engineers and managers of industries concerned with computer vision, manufacturing, automation, robotics and quality control.

    • Topological Algorithms for Digital Image Processing

      • 1st Edition
      • Volume 19
      • July 17, 1996
      • T.Y. Kong + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 4 5 4 2 3 5 9
      • eBook
        9 7 8 0 0 8 0 5 5 2 0 4 0
      Basic topological algorithms are the subject of this new book. It presents their underlying theory and discusses their applications.Due to the wide variety of topics treated in the seven chapters, no attempt has been made to standardize the notation and terminology used by the authors. Each chapter, however, is self-contained and can be read independently of the others. Some of the basic terminology and fundamental concepts of digital topology are reviewed in the appendix which also describes important areas of the field. A bibliography of over 360 references is also provided.The notations and terminologies used in this book will serve to introduce readers to the even wider variety that exists in the voluminous literature dealing with topological algorithms.

    • Time-Varying Image Processing and Moving Object Recognition

      • 1st Edition
      • March 17, 1994
      • V. Cappellini
      • English
      • Hardback
        9 7 8 0 4 4 4 8 1 4 6 7 8
      • eBook
        9 7 8 1 4 8 3 2 9 0 2 5 6
      In the area of Digital Image Processing the new area of "Time-Varying Image Processing and Moving Oject Recognition" is contributing to impressive advances in several fields. Presented in this volume are new digital image processing and recognition methods, implementation techniques and advanced applications such as television, remote sensing, biomedicine, traffic, inspection, and robotics. New approaches (such as digital transforms, neural networks) for solving 2-D and 3-D problems are described. Many papers concentrate on motion estimation and recognition i.e. tracking of moving objects. Overall, the book describes the state-of-the-art (theory, implementation, applications) of this developing area, together with future trends. The work will be of interest not only to researchers, professors and students in university departments of engineering, communications, computers and automatic control, but also to engineers and managers of industries concerned with computer vision, manufacturing, automation, robotics and quality control.

    • Pattern Recognition and Machine Learning

      • 1st Edition
      • July 14, 1992
      • Y. Anzai
      • English
      • Paperback
        9 7 8 0 1 2 4 1 2 1 4 9 2
      • Hardback
        9 7 8 0 1 2 0 5 8 8 3 0 5
      • eBook
        9 7 8 0 0 8 0 5 1 3 6 3 8
      This is the first text to provide a unified and self-contained introduction to visual pattern recognition and machine learning. It is useful as a general introduction to artifical intelligence and knowledge engineering, and no previous knowledge of pattern recognition or machine learning is necessary. Basic for various pattern recognition and machine learning methods. Translated from Japanese, the book also features chapter exercises, keywords, and summaries.

    • Artificial Intelligence and Computer Vision

      • 1st Edition
      • June 17, 1991
      • Y.A. Feldman + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 4 5 6 8 5 3 3
      • eBook
        9 7 8 0 4 4 4 5 9 9 2 8 5
      Current research in artificial intelligence and computer vision presented at the Israeli Symposium are combined in this volume to present an invaluable resource for students, industry and research organizations. Papers have been contributed from researchers worldwide, showing the growing interest of the international community in the work done in Israel. The papers selected are varied, reflecting the most contemporary research trends.

    • Introduction to Statistical Pattern Recognition

      • 2nd Edition
      • September 28, 1990
      • Keinosuke Fukunaga
      • English
      • Paperback
        9 7 8 1 4 9 3 3 0 0 4 8 8
      • Hardback
        9 7 8 0 1 2 2 6 9 8 5 1 4
      • eBook
        9 7 8 0 0 8 0 4 7 8 6 5 4
      This completely revised second edition presents an introduction to statistical pattern recognition. Pattern recognition in general covers a wide range of problems: it is applied to engineering problems, such as character readers and wave form analysis as well as to brain modeling in biology and psychology. Statistical decision and estimation, which are the main subjects of this book, are regarded as fundamental to the study of pattern recognition. This book is appropriate as a text for introductory courses in pattern recognition and as a reference book for workers in the field. Each chapter contains computer projects as well as exercises.

Related subjects

Document and text processing