Real time Face Detection
Face detection puts forth a challenging problem in the field of Computer Vision. Detecting faces in real time have many applications especially in the safety and security domain. The primary aim of Face detection algorithms is to detect faces in an image or in a video stream successfully so that they could be further used for applications such as Face recognition. Object detection systems developed traditionally have had a lot of success in detecting objects such as humans, cars, buildings etc. but real time face detection presents a new challenge. In this paper, we provide efficient and robust face detection algorithms which adapt to real-world situations like the face being in poor light conditions, multiple faces in a window, pose, different orientations, varied expressions, to detect faces with maximum accuracy.
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 Rekha N, Dr.M.Z. Kurian, “Face Detection in Real Time Based on HOG”. In: International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 3 Issue 4, April 2014, pp.
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