A method for detection of partially occluded faces based on component distance matching degree function

To solve the problem of detecting the faces with partial occlusions better, a face detection method based on the component distance matching degree function was proposed. The method was carried out in the study as below: Firstly, the AdaboostSVM algorithm, i. e. the Adaboost algorithm based on a support vector machine (SVM), was used to detect the components of the faces included in the input image. Then, the component distance matching degree function was given, which was determined by the mean and variance of the components' distance together. The component integration verification algorithm based on the function of the component distance matching degree was proposed, and the locations of the occluded components were estimated. Finally, the faces with partial occlusions were detected and located. The experimental results show that the proposed algorithm can enhance the performance and the speed of detection of partially occluded faces, and can detect the faces with partial occlusions exactly in a complex background.