Face Recognition Semisupervised Classification, Subspace Projection and Evaluation Methods
Pattern recognition has gained significant attention due to the rapid explosion of internet- and mobile-based applications. Among the various pattern recognition applications, face recognition is always being the center of attraction. With so much of unlabeled face images being captured and made ava...
Saved in:
Other Authors: | |
---|---|
Format: | Electronic Book Chapter |
Language: | English |
Published: |
IntechOpen
2016
|
Subjects: | |
Online Access: | DOAB: download the publication DOAB: description of the publication |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | Pattern recognition has gained significant attention due to the rapid explosion of internet- and mobile-based applications. Among the various pattern recognition applications, face recognition is always being the center of attraction. With so much of unlabeled face images being captured and made available on internet (particularly on social media), conventional supervised means of classifying face images become challenging. This clearly warrants for semi-supervised classification and subspace projection. Another important concern in face recognition system is the proper and stringent evaluation of its capability. This book is edited keeping all these factors in mind. This book is composed of five chapters covering introduction, overview, semi-supervised classification, subspace projection, and evaluation techniques. |
---|---|
Physical Description: | 1 electronic resource (102 p.) |
ISBN: | 61471 9789535124221 9789535124214 9789535157830 |
Access: | Open Access |