Face Detection In Computer Technology

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Chapter one 1.1 Introduction Face detection is concerned with finding whether or not a face exists in a given image; it is the first step of any fully automatic system that analyzes the information contained in faces (e.g., identity, gender, expression, age, race, and pose). The current evolution in computer technology in recent years has facilitated the development of real-time computer human interaction. Examples can be found, particularly in biometrics and human computer interaction, as the information contained in faces needs to be analyzed for systems to react accordingly (Yang, 2009). Faces first need to be located and registered to facilitate further processing to detect facial features accurately for other applications. It is evident…show more content…
The importance of face detection to face recognition as made it an active research area in recent years. Over the past 30 years face recognition has been an active research area. It has been studied by scientists from different areas of psychophysical sciences and those from different areas of computer sciences. Psychologists and neuroscientists mainly deal with the human perception part of the topic, whereas engineers studying on machine recognition and detection of human faces deal with the computational aspects of face recognition. As Face recognition continues to be an unsolved problem and an increasingly demanded technology, face detection is fast becoming an area of research interest because a face recognition system is as good as its face…show more content…
This has made face detection and recognition a relevant aspect in pattern recognition, neural networks, computer graphics, image processing and psychology. Applications and difficulty of face detection, makes the problem interesting. In terms of applications, face detection is so important that the face detection problem is the first technique mostly adopted in most computer vision applications. Some face detection applications include video surveillance, human-machine interaction, photo cameras, virtual reality and law enforcement. (Zhao, et al., 2003) Although there is a lot of algorithms for face detection. Accurate face detection is still a challenge. This is because there is no definite shape of human faces. The dissimilarities in the shapes of human faces make the solution to face detection a little difficult. These challenges can be attributed to some of these factors; (Yang, et al., 2002) Pose variation: The ideal scenario for face detection would be one in which only frontal images were involved. But, this is very unlikely in general uncontrolled conditions. Moreover, the performance of face detection algorithms drops severely when there are large pose variations. It’s a major research issue. Pose variation can happen due to subject’s movements or camera’s

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