In this episode I tried to explain the principle behind face regonition using PCA -Eigen face Approach PCA- Principal Component Analysis Eigen faces:  An eigenface is the name given to a set of eigenvectors when used in the computer vision problem of human face recognition. What is eigenvalues and eigenvectors in PCA? Eigenvectors are unit vectors with length or magnitude equal to 1. ...  Eigenvalues are coefficients applied to eigenvectors that give the vectors their length or magnitude.  Covariance Matrix:is a square matrix giving the covariance between each pair of elements of a given random vector.

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