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A face detection and location method based on Feature Binding

机译:基于特征绑定的人脸检测与定位方法

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摘要

A face detection and location method based on Feature Binding (FB) is proposed in this paper. The features used for face detection and location are classified and bound into groups. The information of each group is extracted separately during face detection. Through the combination with the constraint relationship, the precise location of the face in the image could be identified by confidence coefficients of all groups. Experimental results show that this proposed method can improve the accuracy rate obviously and has good detection effect on obscured faces. Besides, FB can be good to adapt to varieties of features. (C) 2015 Elsevier B.V. All rights reserved.
机译:提出了一种基于特征绑定的人脸检测定位方法。用于面部检测和定位的特征被分类并绑定到组中。在面部检测期间,分别提取每个组的信息。通过结合约束关系,可以通过所有组的置信系数来识别人脸在图像中的精确位置。实验结果表明,该方法能明显提高准确率,对遮挡人脸具有良好的检测效果。此外,FB可以很好地适应各种功能。 (C)2015 Elsevier B.V.保留所有权利。

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