Face Detection - A Literature Survey

The extensive research in the field of face detection can be gauged from the fact of great increase in face capturing devises. Millions of people are recorded everyday in cctv's, video recorder, media, social sites like YouTube, Vimeo, Facebook, Instagram and lot more. Face plays a core part in distinguishing and identifying a person and hence face detection is much sought after. Other factors, such as security have also provided impetus to research in face identification. Though, other detection techniques such as iris scanning, finger-prints scanning are also a way to identify a person but the problem it contains is the fact that it requires a dedicated hardware system and human resource for it. Such problems are not faced in face identification as face is detected through passive resources that do not require involvement from the user side. In this paper we would we would compare and look at the ongoing face detecting techniques and the underlying properties.