Logo

State of the Art in Face Recognition

Small book cover: State of the Art in Face Recognition

State of the Art in Face Recognition
by

Publisher: IN-TECH
ISBN-13: 9783902613424
Number of pages: 436

Description:
Nearest feature classification for face recognition, subspace methods for face recognition, a multi-stage classifier for face recognition undertaken by coarse-to-fine strategy, PCA-ANN face recognition system based on photometric normalization techniques, online incremental face recognition system using eigenface feature and neural classifier, and more.

Home page url

Download or read it online for free here:
Download link
(ZIP/PDF)

Similar books

Book cover: Anisotropic Diffusion in Image ProcessingAnisotropic Diffusion in Image Processing
by - Teubner
Many recent techniques for digital image enhancement and multiscale image representations are based on nonlinear PDEs. This book gives an introduction to the main ideas behind these methods, and it describes in a systematic way their foundations.
(8649 views)
Book cover: Computer Vision Metrics: Survey, Taxonomy, and AnalysisComputer Vision Metrics: Survey, Taxonomy, and Analysis
by - 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.
(2291 views)
Book cover: Machine Interpretation of Line DrawingsMachine Interpretation of Line Drawings
by - The MIT Press
The book on computer vision which solves the problem of the interpretation of line drawings and answers many other questions regarding the errors in the placement of lines in the images. Sugihara presents a mechanism that mimics human perception.
(10885 views)
Book cover: Programming Computer Vision with PythonProgramming Computer Vision with Python
by - O'Reilly Media
The idea behind this book is to give an easily accessible entry point to hands-on computer vision with enough understanding of the underlying theory and algorithms to be a foundation for students, researchers and enthusiasts.
(5956 views)