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Face detection is an essential step in many computer vision applications likesurveillance, tracking, medical analysis, facial expression analysis etc.Several approaches have been made in the direction of face detection. Amongthem, Haar-like features based method is a robust method. In spite of therobustness, Haar - like features work with some limitations. However, with somesimple modifications in the algorithm, its performance can be made faster andmore robust. The present work refers to the increase in speed of operation ofthe original algorithm by down sampling the frames and its analysis withdifferent scale factors. It also discusses the detection of tilted faces usingan affine transformation of the input image.

A Framework for Fast Face and Eye Detection