Face recognition has been an active research area over the last 30
years. The face is our primary focus of attention in social
intercourse, playing a major role in conveying identity and
emotion. Although the ability to infer intelligence or character
from facial appearance is suspect, the human ability to recognize
faces is remarkable. We can recognize thousands of faces learned
throughout our lifetime and identify familiar faces at a glance
even after years of separation. This skill is quite robust, despite
large changes in the visual stimulus due to viewing conditions,
expression, aging, and distractions such as glasses or changes in
hair style. In this book, Laplacian faces which uses linear
projective projection is studied and finally enhanced before
accuracy. LPP is designed for preserving local structure; it is
likely that a nearest neighbour search in the low dimensional space
will yield similar results to that in the high dimensional space.
LPP's are linear projective maps that arise by solving a
variational problem that optimally preserves the neighborhood
structure of the data set. Finally the algorithm is modified to
yield better results in terms of time and accuracy.
General
Imprint: |
Lap Lambert Academic Publishing
|
Country of origin: |
United States |
Release date: |
September 2012 |
First published: |
September 2012 |
Authors: |
Gaurav Gupta
• Rahul Gupta
|
Dimensions: |
229 x 152 x 4mm (L x W x T) |
Format: |
Paperback - Trade
|
Pages: |
72 |
ISBN-13: |
978-3-659-23431-6 |
Categories: |
Books >
Social sciences >
Psychology >
General
|
LSN: |
3-659-23431-1 |
Barcode: |
9783659234316 |
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!