Feature Extraction and Image Processing for Computer Vision, Fourth Edition describes basic principles, theories and techniques used to design visual search and recognition engines. The book explores how visual features are extracted and quantized, how an indexing system is built, includes comparisons to alternative schemes, and presents cutting-edge techniques, like deep learning. From the feature end, users will find out how hash functions transfer high-dimensional feature descriptors into compact binary code. From the model end, the book discusses recent advances in compressing and accelerating large, deep learning models (like convolutional neural networks) to fit into mobile and robotic memory storage.
- Introduces the building blocks of visual search and recognition engines
- Provides detailed reviews of visual feature hashing
- Contains reviews of deep learning model compression
- Presents the latest cutting-edge research, such as compact descriptors for visual search and visual feature hashing
Researchers and graduate students in computer vision, image and video processing
- Techniques in visual descriptor extraction and representation
2. Overview of visual search and recognition engines
3. Feature quantization and indexing
4. Building recognition models
5. On compact feature learning
6. On deep model compression
8. Trends and Future Research Challenges
- No. of pages:
- © Academic Press 2020
- 1st September 2019
- Academic Press
- Paperback ISBN:
Mark Nixon is the Professor in Computer Vision at the University of Southampton UK. His research interests are in image processing and computer vision. His team develops new techniques for static and moving shape extraction which have found application in biometrics and in medical image analysis. His team were early workers in automatic face recognition, later came to pioneer gait recognition and more recently joined the pioneers of ear biometrics. With Tieniu Tan and Rama Chellappa, their book Human ID based on Gait is part of the Springer Series on Biometrics and was published in 2005. He has chaired/ program chaired many conferences (BMVC 98, AVBPA 03, IEEE Face and Gesture FG06, ICPR 04, ICB 09, IEEE BTAS 2010) and given many invited talks. Dr. Nixon is a Fellow IET and a Fellow IAPR.
Professor of Electronics and Computer Science, University of Southampton, UK
Alberto Aguado is a principal programmer at Sportradar, where he works developing Image Processing and real-time multi-camera 3D tracking technologies for sport events. Previously, he worked as a technology programmer for Electronic Arts and for Black Rock Disney Game Studios. He worked as a Lecturer in the Centre for Vision, Speech and Signal Processing in the University of Surrey. He pursued a postdoctoral fellowship in Computer Vision at INRIA Rhône-Alpes and he received his PhD in Computer Vision /Image Processing from the University of Southampton.
Principal Programmer, Sportradar, Brighton, UK