The Different Face Expression Techniques Using 2D & 3D Face Recognition

Abstract

The Face Recognition has been an active research area since the 1960 and is one of the most successful applications of
image analysis and understanding. Face Recognition is an important part of many biometric, security and surveillance
system as well as image and video indexing systems. Face Recognition is used to identify or verify a person from still
image and video. 2D pictures are for the most part less demanding and more affordable to secure. The apparent advantages
from utilizing 3D in respect to 2D information incorporate less variety saw because of elements, for example, cosmetics
and less affectability to enlightenment changes. Essentially there are two principle purposes behind such a pattern (a) the
first is extensive variety of business and law requirement applications (b) the accessibility of doable innovations. Many
research conducted by 2D based face recognition techniques and their problems like increasing gallery size, illuminate
variation, expression variation and pose variation have well known. My research with the help of PCA and HAAR
(Wavelet Transform) and it will be effective for deciding an image or video. Here we displays a few tests keeping in mind
the end goal to indicated light, posture and structure of the image.