概要：圖像中的人臉檢測(cè)是人臉識(shí)別研究中一項(xiàng)非常重要的研究分支。為了更有效地檢測(cè)圖像中的人臉，此次研究設(shè)計(jì)提出了基于半邊臉的人臉檢測(cè)方法。根據(jù)圖像中人半邊臉的容貌或者器官的密度特征，比如眼睛，耳朵，嘴巴，部分臉頰，正面的平均全臉模板就可以被構(gòu)建出來。被模擬出來的半張臉是基于人臉的對(duì)稱性的特點(diǎn)而構(gòu)建的。圖像中人臉檢測(cè)的實(shí)驗(yàn)運(yùn)用了模板匹配法和相似性從而確定人臉在圖像中的位置。此原理分析顯示了平均全臉模型法能夠有效地減少模板的局部密度的不確定性?；诎脒吥樀娜四槞z測(cè)能降低人臉模型密度的過度對(duì)稱性，從而提高人臉檢測(cè)的速度。實(shí)驗(yàn)結(jié)果表明此方法還適用于在大角度拍下的側(cè)臉圖像，這大大增加了側(cè)臉檢測(cè)的準(zhǔn)確性。
關(guān)鍵詞：人臉模板， 半邊人臉模板，模板匹配法，相似性，側(cè)臉。
Abstract – Face detection in the image is an important researchbranch of face recognition. For the purpose of detecting thefaces in images efficiently, a face detection method based onhalf face-template is proposed. According to the character ofdensity of the feature or gans such as eye, ear, nose, mouth, part of cheek in the face images, the obverse average full face-template is constructed. And the obverse average half face-template is constructed directly based on density symmetry of face-template. The face detection experiments in the images were carried on using the method of template matching and determine the position of the face in the image according to comparability. The theory analysis shows that the average face-template can reduce the chanciness of local density of the template effectively and the half face-template can reduce the symmetry redundancy of density in the face-template and increase the speed of face detection. The experimental result indicates that the half face-template can adapt to side face images in a large angle, which improves the correctness of side face detection substantially. Keywords – full face-template, half face-template, template matching, comparability, side face.
I. INTRODUCTION
Face recognition is the hot topic in the research field of image processing and recognition and computer vision in recent years. As one of the important