Recent Advances in Computer Vision

Theories and Applications

  • Mahmoud Hassaballah
  • Khalid M. Hosny

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

Table of contents

  1. Front Matter
    Pages i-xv
  2. Luca Donati, Eleonora Iotti, Andrea Prati
    Pages 1-31
  3. M. Hassaballah, Saddam Bekhet, Amal A. M. Rashed, Gang Zhang
    Pages 33-59
  4. Gang Zhang, Yuding Ke, Weikang Zhang, M. Hassaballah
    Pages 61-84
  5. Saddam Bekhet, M. Hassaballah, Amr Ahmed, Ali H. Ahmed
    Pages 85-112
  6. M. Hassaballah, Hammam A. Alshazly, Abdelmgeid A. Ali
    Pages 113-140
  7. Khalid M. Hosny, Mohamed M. Darwish
    Pages 141-167
  8. Khalid M. Hosny, Mohamed Abd Elaziz
    Pages 169-187
  9. Fatima Akhmedova, Simon Liao
    Pages 189-209
  10. Prashant Srivastava, Ashish Khare
    Pages 211-235
  11. Federico Magliani, Tomaso Fontanini, Andrea Prati
    Pages 237-259
  12. A. Lumini, L. Nanni
    Pages 261-280
  13. Shashi Poddar, Rahul Kottath, Vinod Karar
    Pages 305-331
  14. Žiga Emeršič, Janez Križaj, Vitomir Štruc, Peter Peer
    Pages 333-362
  15. Nikhil Damodaran, V. Sowmya, D. Govind, K. P. Soman
    Pages 363-399
  16. V. Sowmya, K. P. Soman, M. Hassaballah
    Pages 401-424
  17. Back Matter
    Pages 425-425

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.


Face Recognition Image Classification Scene Understanding Visual Saliency and Pedestrian Detection Feature Learning Convolutional Neural Network Toolboxes Object Segmentation and Shape Models Object Detection and Recognition Image and Video Retrieval Biometrics Visual odometry

Editors and affiliations

  • Mahmoud Hassaballah
    • 1
  • Khalid M. Hosny
    • 2
  1. 1.Department of Computer ScienceSouth Valley UniversityLuxorEgypt
  2. 2.Department of Information TechnologyZagazig UniversityZagazigEgypt

Bibliographic information