关键词: 人脸检测, YIQ肤色模型, 姿态调整, 惯量最小化原理

Abstract: human Face detection and segmentation is an important process in the system of face analysis and recognition. It’s purpose is to detect and segment human face from an image with complex background. It is easy for human to accomplish this work, but it is very difficult for an automatic system. In the past years, many human face detection methods were studied with the progress of computer science and the methods of image processing. This paper applied a method of human face detection based on YIQ color model and a method of pose adjustment with the inertia minimum theory in order to segment the face area preferably. Experiments showed that these methods can detect human face from complex background and can segment it efficiently.

Key words: human face detection, YIQ color model, pose adjustment, inertia minimum theory