【24h】

Research on face detection based on fast Haar feature

机译:基于快速哈尔特征的脸部检测研究

获取原文

摘要

Face detection refers to any given image, using a certain strategy to search for it to determine whether it contains the face, if it is to return to a face position, size and attitude. At present, it is a hot research topic in the field of computer vision and pattern recognition. It has a wide range of applications in the field of image processing, intelligent monitoring, intelligent vehicle system. Face detection is a complex and challenging pattern detection problem. There are two main difficulties, on the one hand, due to the inherent changes in the face, on the other hand, due to changes in external conditions caused by. In this paper, AdaBoost face detection algorithm based on Haar feature is implemented in the face detection phase. In order to determine whether the detected face is a positive face, the human eye detection algorithm based on integral projection is proposed.
机译:面部检测是指任何给定的图像,使用某种策略来搜索它来确定它是否包含面部,如果是返回面部位置,大小和姿态。目前,它是计算机视觉和模式识别领域的热门研究主题。它在图像处理领域具有广泛的应用,智能监控,智能车辆系统。面部检测是一种复杂和具有挑战性的模式检测问题。一方面,由于面部的固有变化,有两种主要困难,另一方面,由于外部条件引起的变化。本文在面部检测阶段实现了基于HAAR特征的Adaboost面部检测算法。为了确定检测到的面是否是正面,提出了基于整体投影的人眼检测算法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号