Review on Face Detection Technology

With the marvellous increase in video and image database there is an incredible need of automatic understanding and examination of information by the intelligent systems as manually it is getting to be plainly distant. Face plays a major role in social intercourse for conveying identity and feelings of a person. Human beings have not tremendous ability to identify different faces than machines. So, automatic face detection system plays an important role in face recognition, facial expression recognition, head-pose estimation, human– computer interaction etc. Face detection is a computer technology that determines the location and size of a human face in a digital image. Face detection has been a standout amongst topics in the computer vision literature. Furthermore, the research paper explores the key components of face detection systems, including feature extraction, classification, and localization techniques. It delves into the technical aspects of popular algorithms such as Viola-Jones, Histogram of Oriented Gradients (HOG), and Convolutional Neural Networks (CNN), providing insights into their strengths and limitations. Overall, this research paper provides a comprehensive exploration of face detection technology, its underlying algorithms, challenges, applications, and future prospects. It serves as a valuable resource for researchers, practitioners, and enthusiasts interested in understanding the advancements and potential of this rapidly evolving field.