daBoost算法在人脸检测中的应用
daBoost algorithm on face detection
目前人脸检测中最常用的算法为AdaBoost算法，这种算法在运算速度及精度上有着独特的优势。本文对AdaBoost算法流程进行了分析，将其分为积分图计算、Haar特征计算、弱分类器训练、强分类器训练、级联分类器训练、人脸检测、区域合并七个模块，提供了一种以人脸检测为背景的标准应用框架。
Face detection is currently the most commonly used algorithm for the AdaBoost algorithm,this algorithm has a computing speed and accuracy of unique advantages.The process of AdaBoost algorithm was analyzed and divided into seven modules, such as summed area table calculation, Haar features calculation, the weak classifier training, the strong classifier training, Cascade classifier training,face detection and region merging,provides a standards application framework for face detection.
杜边境、李承冬、李明
计算技术、计算机技术
人脸检测daBoost积分图分类器
Face DetectionAdaBoostsummed area tableclassifier
杜边境,李承冬,李明.daBoost算法在人脸检测中的应用[EB/OL].(2011-12-08)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/201112-193.点此复制
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