基于半边脸的人脸检测-----外文翻译.doc
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基于半边脸的人脸检测-----外文翻译,概要：图像中的人脸检测是人脸识别研究中一项非常重要的研究分支。为了更有效地检测图像中的人脸，此次研究设计提出了基于半边脸的人脸检测方法。根据图像中人半边脸的容貌或者器官的密度特征，比如眼睛，耳朵，嘴巴，部分脸颊，正面的平均全脸模板就可以被构建出来。被模拟出来的半张脸是基于人脸的对称性的特点而构建的。图像中人脸检测的实验...
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此文档由会员 wanli1988go 发布
概要：图像中的人脸检测是人脸识别研究中一项非常重要的研究分支。为了更有效地检测图像中的人脸，此次研究设计提出了基于半边脸的人脸检测方法。根据图像中人半边脸的容貌或者器官的密度特征，比如眼睛，耳朵，嘴巴，部分脸颊，正面的平均全脸模板就可以被构建出来。被模拟出来的半张脸是基于人脸的对称性的特点而构建的。图像中人脸检测的实验运用了模板匹配法和相似性从而确定人脸在图像中的位置。此原理分析显示了平均全脸模型法能够有效地减少模板的局部密度的不确定性。基于半边脸的人脸检测能降低人脸模型密度的过度对称性，从而提高人脸检测的速度。实验结果表明此方法还适用于在大角度拍下的侧脸图像，这大大增加了侧脸检测的准确性。
关键词：人脸模板， 半边人脸模板，模板匹配法，相似性，侧脸。
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
关键词：人脸模板， 半边人脸模板，模板匹配法，相似性，侧脸。
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
