Skip to main content
SpringerLink
Log in
Book cover

Recent Advances in Computer Vision

Theories and Applications

  • Book
  • © 2019

Overview

Editors:
  1. Mahmoud Hassaballah

    1. Department of Computer Science, South Valley University, Luxor, Egypt

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Khalid M. Hosny

    1. Department of Information Technology, Zagazig University, Zagazig, Egypt

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Offers a comprehensive overview of the most advanced theories, methodologies, and modern applications in computer vision
  • Presents several new methods and robust algorithms, such as deep learning algorithms
  • Covers topics such as object detection and recognition, human actions recognition, face detection and recognition, object segmentation, and shape models

Part of the book series: Studies in Computational Intelligence (SCI, volume 804)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (16 chapters)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Computer Vision for Supporting Fashion Creative Processes

    • Luca Donati, Eleonora Iotti, Andrea Prati
    Pages 1-31

  3. Facial Features Detection and Localization

    • M. Hassaballah, Saddam Bekhet, Amal A. M. Rashed, Gang Zhang
    Pages 33-59

  4. Advances and Trends in Video Face Alignment

    • Gang Zhang, Yuding Ke, Weikang Zhang, M. Hassaballah
    Pages 61-84

  5. Video Similarity Measurement and Search

    • Saddam Bekhet, M. Hassaballah, Amr Ahmed, Ali H. Ahmed
    Pages 85-112

  6. Analysis and Evaluation of Keypoint Descriptors for Image Matching

    • M. Hassaballah, Hammam A. Alshazly, Abdelmgeid A. Ali
    Pages 113-140

  7. Feature Extraction of Color Images Using Quaternion Moments

    • Khalid M. Hosny, Mohamed M. Darwish
    Pages 141-167

  8. Face Recognition Using Exact Gaussian-Hermit Moments

    • Khalid M. Hosny, Mohamed Abd Elaziz
    Pages 169-187

  9. Face Recognition with Discrete Orthogonal Moments

    • Fatima Akhmedova, Simon Liao
    Pages 189-209

  10. Content-Based Image Retrieval Using Multiresolution Feature Descriptors

    • Prashant Srivastava, Ashish Khare
    Pages 211-235

  11. Landmark Recognition: From Small-Scale to Large-Scale Retrieval

    • Federico Magliani, Tomaso Fontanini, Andrea Prati
    Pages 237-259

  12. Ocean Ecosystems Plankton Classification

    • A. Lumini, L. Nanni
    Pages 261-280

  13. Boundary Detection of Echocardiographic Images During Mitral Regurgitation

    • K. Chauhan, R. K. Chauhan
    Pages 281-303

  14. Motion Estimation Made Easy: Evolution and Trends in Visual Odometry

    • Shashi Poddar, Rahul Kottath, Vinod Karar
    Pages 305-331

  15. Deep Ear Recognition Pipeline

    • Žiga Emeršič, Janez Križaj, Vitomir Štruc, Peter Peer
    Pages 333-362

  16. Scene Classification Using Transfer Learning

    • Nikhil Damodaran, V. Sowmya, D. Govind, K. P. Soman
    Pages 363-399

  17. Hyperspectral Image: Fundamentals and Advances

    • V. Sowmya, K. P. Soman, M. Hassaballah
    Pages 401-424

  18. Back Matter

    Pages 425-425
    Download chapter PDF
Back to top

Keywords

About this book

This book presents a collection of high-quality research by leading experts in computer vision and its applications. Each of the 16 chapters can be read independently and discusses the principles of a specific topic, reviews up-to-date techniques, presents outcomes, and highlights the challenges and future directions. As such the book explores the latest trends in fashion creative processes, facial features detection, visual odometry, transfer learning, face recognition, feature description, plankton and scene classification, video face alignment, video searching, and object segmentation. It is intended for postgraduate students, researchers, scholars and developers who are interested in computer vision and connected research disciplines, and is also suitable for senior undergraduate students who are taking advanced courses in related topics. However, it is also provides a valuable reference resource for practitioners from industry who want to keep abreast of recent developments in this dynamic, exciting and profitable research field.

Editors and Affiliations

  • Department of Computer Science, South Valley University, Luxor, Egypt

    Mahmoud Hassaballah

  • Department of Information Technology, Zagazig University, Zagazig, Egypt

    Khalid M. Hosny

About the editors

Mahmoud Hassaballah was born in 1974 in Qena, Egypt. He received a B.Sc. degree in Mathematics in 1997, and an M.Sc. degree in Computer Science in 2003, both from South Valley University, Egypt. In April 2008, he joined the Lab of Intelligence Communication at the Department of Electrical and Electronic Engineering and Computer Science, Ehime University, Japan as a Ph.D. student, where he received a Doctor of Engineering (D.Eng.) in Computer Science in September 2011 for his work on facial features detection. He is currently an Associate Professor of Computer Science at the South Valley University’s Faculty of Computers and Information. His research interests include feature extraction, object detection/recognition, biometrics, image processing, computer vision, machine learning, and data hiding.


Khalid Hosny was born in 1966 in Zagazig, Egypt. He is a Professor of Information Technology, Faculty of Computers and Informatics at Zagazig University in Egypt. Prof. Hosny received his B.Sc., M.Sc. and Ph.D. degrees from the same university in 1988, 1994, and 2000 respectively. From 1997 to 1999 he was a Visiting Scholar at the University of Michigan, Ann Arbor and the University of Cincinnati in the USA. He is a senior member of ACM and IEEE. His research interests include image processing, pattern recognition, multimedia and computer vision. Prof. Hosny has published more than 60 papers in international journals, and he is an editor and scientific reviewer for more than 30 international journals.


Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation