Recent Advances in Computer Vision

1. Front Matter

   Pages i-xv

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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

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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

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

  Mahmoud Hassaballah

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

  Khalid M. Hosny

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.

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