Rapid detection method of face in color image under complex background

Abstract

The invention relates to the technical field of face recognition, in particular to a rapid detection method of a face in a high-resolution color image under a complex background. The invention comprises the following steps: building a face skin color mixed model which is composed of two color space restrictions of RGB and YCbCr according to a large amount of acquired skin color sample data to determine the skin color pixel; rapidly skipping non-face regions by adopting a whole skin color pixel ratio to improve the location efficiency of a face candidate region; then using the improved face rapid detection algorithm which is based on forward characteristic selection to realize face preliminary judging of the face candidate region; and finally utilizing a false alarm restraining method which is based on space restriction and geometric restriction to further lower false detection rate and complete face detection. The invention can realize rapid location of a plurality of frontal faces in images at a high detection rate under the condition of low false alarm rate; the good performances of the invention are proved by the results of the test set of Bao open database and a plurality of video frequencies and high resolution color images.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a rapid face detection method of a high-resolution color image under a complex background. Background technique [0002] Face detection means that for any given image, a certain strategy is used to search it to determine whether there is a human face in it, and if there is, further determine the position, size and posture of the human face. It is currently widely used in systems such as face recognition, video surveillance, image retrieval, and human-machine interface. Face detection is a complex and challenging pattern detection problem. There are two main difficulties. On the one hand, it is caused by the internal changes of the face: (1) The face has quite complex detail changes, different appearances Such as face shape, skin color, etc., different expressions such as opening and closing of eyes and mouth, etc.; (2) occlusion of human face, such as glasses, hair and ...

AI Technical Summary

Problems solved by technology

However, this type of method has the following problems: (1) Usually, the skin color mixed Gaussian model or ellipse model is used, regardless of whether it is a skin color pixel or not, the complex transformation and determination of the color space must be performed, resulting in a large amount of calculation during skin color segmentation, which affects the face. detection speed

If there are two or more face contours partially overlapping in the image, this type of algorithm will have a serious problem of missing face detection.

(3) Various structural features such as face eyes and mouth are used, the algorithm is complex, and the detection speed is slow, which reduces the overall performance of the algorithm

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