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: What does the honeybee see? And how do we know?What does the honeybee see? And how do we know?
by - ANU E Press
The book is the only account of what the bee actually detects with its eyes. The erratic path to understanding makes interesting reading for anyone with an analytical mind who thinks about the methods of science or the engineering of seeing machines.
(11776 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.
(17559 views)
Book cover: Natural Image StatisticsNatural Image Statistics
by - Springer
Introductory textbook and a research monograph on modelling the statistical structure of natural images. The statistical structure of natural images is described using a number of statistical models whose parameters are estimated from image samples.
(14214 views)
Book cover: Introduction to Programming for Image Analysis with VTKIntroduction to Programming for Image Analysis with VTK
by - Image Processing and Analysis Group
The author's goal was to provide sufficient introductory material for a typical 1st year engineering graduate student with some background in programming in C and C++ to leverage modern open source toolkits in medical image analysis.
(18652 views)