学习笔记：LAB Feature with Feature-centric Cascade for Fast and Accurate Face Detection
该笔记只是用于知识总结，且本人第一次写博客。请多担待。 LAB特征是中科院计算所山世光研究员团队提出来的，主要用于人脸检测。 LAB的概念：全称是Locally Assembled Binary ，主要是将Haar特征按照LBP特征的方式进行提取。也就是黑色矩形的像素减去白色矩形的像素的结果如果大于0就令该特征为1，否则为0。公式如下： Haar特征计算方法： σ 是候选窗口x的方差。 组合的方式
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