11-05-2011, 04:17 PM
Submitted by
Himanshu Vats
[attachment=13578]
[attachment=13579]
What is face recognition system?
Face Recognition system is an face matching system ..which is generally used in to encrypt the password .
Why Face Recognition?
Security
Fight terrorism
Personal information access
ATM
Home access (no keys or passwords)
man-machine interaction
Beauty search
What Is Difficult About Face Recognition??
Lighting variation
Orientation variation (face angle)
Size variation
Large database
General Image Types
Still image (digital photograph)
Digital camera
Dynamic image
Video camera
General Face Recognition Steps
Face Detection
Face Normalization
Face Identification
Face Detection
In General
Locate face in a given image
Separate it from the scene
Face Normalization
Adjustment
Expression
Rotation
Lighting
Scale
Eye location
Face Identification
Application of a face recognition algorithm
PCA Algorithms`
Principle Component Analysis
Look at the principal components of the distribution of faces, or the eigenvectors of the covariance matrix of the set of face images
Eigenfaces Algorithm
Eigenfaces Initialization
Acquire an initial set of face images (the training set)
Parameter Based Facial Recognition
Facial image is analyzed and reduced to small set of parameters describing prominent facial features
Major features analyzed are: eyes, nose, mouth and cheekbone curvature
These features are then matched to a database
Advantage: recognition task is not very expensive
Disadvantage: the image processing required is very expensive.
Template Based Facial Recognition
Salient regions of the facial image are extracted
These regions are then compared on a pixel-by-pixel basis with an image in the database
Advantage is that the image preprocessing is simpler
Disadvantage is the database search and comparison is very expensive
How the System Worked
Not Everyone Loves Face Recognition
To easy to misuse for wrong purposes
Technology is not accurate enough given the current technology and algorithms
Difficult to use.
Future Of Face Recognition
Advancements in hardware and software
Very large potential market
Remove its problem makes its more efficient..
Himanshu Vats
[attachment=13578]
[attachment=13579]
What is face recognition system?
Face Recognition system is an face matching system ..which is generally used in to encrypt the password .
Why Face Recognition?
Security
Fight terrorism
Personal information access
ATM
Home access (no keys or passwords)
man-machine interaction
Beauty search
What Is Difficult About Face Recognition??
Lighting variation
Orientation variation (face angle)
Size variation
Large database
General Image Types
Still image (digital photograph)
Digital camera
Dynamic image
Video camera
General Face Recognition Steps
Face Detection
Face Normalization
Face Identification
Face Detection
In General
Locate face in a given image
Separate it from the scene
Face Normalization
Adjustment
Expression
Rotation
Lighting
Scale
Eye location
Face Identification
Application of a face recognition algorithm
PCA Algorithms`
Principle Component Analysis
Look at the principal components of the distribution of faces, or the eigenvectors of the covariance matrix of the set of face images
Eigenfaces Algorithm
Eigenfaces Initialization
Acquire an initial set of face images (the training set)
Parameter Based Facial Recognition
Facial image is analyzed and reduced to small set of parameters describing prominent facial features
Major features analyzed are: eyes, nose, mouth and cheekbone curvature
These features are then matched to a database
Advantage: recognition task is not very expensive
Disadvantage: the image processing required is very expensive.
Template Based Facial Recognition
Salient regions of the facial image are extracted
These regions are then compared on a pixel-by-pixel basis with an image in the database
Advantage is that the image preprocessing is simpler
Disadvantage is the database search and comparison is very expensive
How the System Worked
Not Everyone Loves Face Recognition
To easy to misuse for wrong purposes
Technology is not accurate enough given the current technology and algorithms
Difficult to use.
Future Of Face Recognition
Advancements in hardware and software
Very large potential market
Remove its problem makes its more efficient..
