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karishmakeswani
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Quote karishmakeswani Replybullet Topic: Algorithm for face recognition
    Posted: 27-Oct-2012 at 10:05pm
I want to know which is the best algorithm for face recognition. I will be implementing it on android platform.
Also i want to know whats the difference between pca and Eigen faces. Both are algorithms?.
or pca is algorithm and pca with eigen faces is another way of implementing pca? i am totally confused with these two things.

 
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Hariprasad
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Quote Hariprasad Replybullet Posted: 29-Oct-2012 at 11:09pm
Hello karishmakeswani,

The explanation below on PCA might clear your questions:

Face recognition using PCA

The Principal Component Analysis (PCA) is one of the most successful techniques that have been used in image recognition and compression. PCA is a statistical method under the broad title of factor analysis. The purpose of PCA is to reduce the large dimensionality of the data space (observed variables) to the smaller intrinsic dimensionality of feature space (independent variables), which are needed to describe the data economically. This is the case when there is a strong correlation between observed variables.

The jobs which PCA can do are prediction, redundancy removal, feature extraction, data compression, etc. Because PCA is a classical technique which can do something in the linear domain, applications having linear models are suitable, such as signal processing, image processing, system and control theory, communications, etc.

Face recognition has many applicable areas. Moreover, it can be categorized into face identification, face classification, or sex determination. The most useful applications contain crowd surveillance, video content indexing, personal identification (ex. driver’s licence), mug shots matching, entrance security, etc. The main idea of using PCA for face recognition is to express the large 1-D vector of pixels constructed from 2-D facial image into the compact principal components of the feature space. This can be called eigenspace projection. Eigenspace is calculated by identifying the eigenvectors of the covariance matrix

 
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karishmakeswani
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Quote karishmakeswani Replybullet Posted: 30-Oct-2012 at 2:02am
can you tell me the difference between pca and eigen faces?
or both are one and the same thing?
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Hariprasad
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Quote Hariprasad Replybullet Posted: 03-Nov-2012 at 5:48pm
A set of eigenfaces can be generated by performing a mathematical process called principal component analysis (PCA) on a large set of images depicting different human faces.
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Avinash
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Quote Avinash Replybullet Posted: 26-Nov-2012 at 8:14pm
Eigenfaces for Recognition - http://www.face-rec.org/algorithms/PCA/jcn.pdf
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PrashanthS
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Quote PrashanthS Replybullet Posted: 03-Jan-2013 at 1:15pm
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kranthikumar
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Quote kranthikumar Replybullet Posted: 09-Apr-2013 at 9:02pm
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