Recent Advances in Face Recognition
by Kresimir Delac, Mislav Grgic, Marian Stewart Bartlett
Publisher: IN-TECH 2008
Number of pages: 236
Face recognition represents an intuitive and non-intrusive method of recognizing people and this is why it became one of three identification methods used in e-passports and a biometric of choice for many other security applications. The goal of this book is to provide the reader with the most up to date research performed in automatic face recognition. The chapters presented use innovative approaches to deal with a wide variety of unsolved issues.
Home page url
Download or read it online for free here:
by Richard Szeliski - Springer
The book emphasizes basic techniques that work under real-world conditions, not the esoteric mathematics without practical applicability. The text is suitable for a senior-level undergraduates in computer science and electrical engineering.
by Dana H. Ballard, Christopher M. Brown - Prentice Hall
The book on computer vision - the construction of explicit, meaningful descriptions of physical objects from images. Parts of the book assume some mathematical and computing background, but mainly mathematical rigor takes a backseat to concepts.
by Jean Gallier - arXiv
These are notes on the method of normalized graph cuts and its applications to graph clustering. I provide a thorough treatment of this deeply original method, including complete proofs. The main thrust of this paper is the method of normalized cuts.
by Scott Krig - Springer
Provides an extensive survey of over 100 machine vision methods, with a detailed taxonomy for local, regional and global features. It provides background to develop intuition about why interest point detectors and feature descriptors actually work.