Research And Application Of Face Detect Technology In Smartphone Terminal

The technology of human face detection is one of the important parts in face recognition system; it plays an important roll in applications such as video surveillance, human computer interface and human expression recognition. Human face detection and recognition technology is one of the hottest spot in pattern recognition, computer vision and image processing. It combines the knowledge of image understanding, computer vision and artificial intelligence. A lot of new technologies have been proposed in this field and be widely used in computer system. As the rapid development and popularity of smart mobile devices, the research of face detect technology based on smart mobile devices has more and more important theoretical and practical significance.This paper will introduces the basic knowledge of face detection technology and give a review for popular face detection technology firstly, and then focus on Support Vector Machines and Neural network face detection theory. Then the paper will introduce the application of color models in facial region segmentation, and give a brief introduction for common color space model. The method proposes a new technique which uses multi-color space for facial region segmentation. By combining the YCbCr color space, normalized RGB color space and the R component, this method can solved the problem of distinguishing the facial region from skin color backgrounds. After that the paper will introduce the basic theory of Adaboost algorithm and the process of Adaboost model training. Finally, By combining the skin color facial segmentation technology and Adaboost algorithm; this method can be used in smart mobile phone for face detection.From the experimental result, the method can realize face detection on smart mobile device, and the speed of examination is quick, the success ration of detection has achieved 78.9%.