Image Feature Detectors and Descriptors

Foundations and Applications

  • Ali Ismail Awad
  • Mahmoud Hassaballah

Part of the Studies in Computational Intelligence book series (SCI, volume 630)

Table of contents

  1. Front Matter
    Pages i-ix
  2. M. Hassaballah, Ali Ismail Awad
    Pages 1-8
  3. Foundations of Image Feature Detectors and Descriptors

    1. Front Matter
      Pages 9-9
    2. M. Hassaballah, Aly Amin Abdelmgeid, Hammam A. Alshazly
      Pages 11-45
    3. Anca Apatean, Alexandrina Rogozan, Abdelaziz Bensrhair
      Pages 75-107
    4. Jorge Fernández-Berni, Manuel Suárez, Ricardo Carmona-Galán, Víctor M. Brea, Rocío del Río, Diego Cabello et al.
      Pages 109-132
  4. Applications of Image Feature Detectors and Descriptors

    1. Front Matter
      Pages 133-133
    2. Mohamed Tahoun, Abd El Rahman Shabayek, Hamed Nassar, Marcello M. Giovenco, Ralf Reulke, Eid Emary et al.
      Pages 135-171
    3. Hrishikesh Bhaumik, Siddhartha Bhattacharyya, Susanta Chakraborty
      Pages 173-202
    4. Sirshendu Hore, Tanmay Bhattacharya, Nilanjan Dey, Aboul Ella Hassanien, Ayan Banerjee, S. R. Bhadra Chaudhuri
      Pages 203-226
    5. Abdelhameed Ibrahim, Takahiko Horiuchi, Shoji Tominaga, Aboul Ella Hassanien
      Pages 227-254
    6. Valentín Osuna-Enciso, Virgilio Zúñiga, Diego Oliva, Erik Cuevas, Humberto Sossa
      Pages 255-279
    7. Simina Emerich, Eugen Lupu, Bogdan Belean, Septimiu Crisan
      Pages 281-303
    8. Preety Singh, Vijay Laxmi, Manoj Singh Gaur
      Pages 367-383
    9. Nimisha Manth, Jitendra Virmani, Vinod Kumar, Naveen Kalra, Niranjan Khandelwal
      Pages 385-409
  5. Back Matter
    Pages 437-438

About this book

Introduction

This book provides readers with a selection of high-quality chapters that cover both theoretical concepts and practical applications of image feature detectors and descriptors. It serves as reference for researchers and practitioners by featuring survey chapters and research contributions on image feature detectors and descriptors. Additionally, it emphasizes several keywords in both theoretical and practical aspects of image feature extraction. The keywords include acceleration of feature detection and extraction, hardware implantations, image segmentation, evolutionary algorithm, ordinal measures, as well as visual speech recognition.

 

Keywords

2D/3D Feature Detectors Affine Region Detectors Feature Descriptors Feature Robustness Image Feature Extraction Image Matching Image Retrieval Interest Points Detectors Invariant Feature Detectors Keypoints Extraction Object Tracking Performance Evaluation Video Processing

Editors and affiliations

  • Ali Ismail Awad
    • 1
  • Mahmoud Hassaballah
    • 2
  1. 1.Department of Computer ScienceLuleå University of TechnologyLuleåSweden
  2. 2.Image and Video Processing Lab, FacultySouth Valley UniversityQenaEgypt

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-28854-3
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-28852-9
  • Online ISBN 978-3-319-28854-3
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book