Frontal Face Classifier using AdaBoost with MCT Features

被引：0
|
作者：
Yoon, Jongmin [1 ]
Kim, Daijin [1 ]
机构：
[1] POSTECH, Dept Comp Sci & Engn, Pohang, South Korea
来源：
11TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV 2010) | 2010年
关键词：
frontal face classification; adaboost; MCT;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we describe how to classify frontal face from the results of face detection which include non-frontal faces. To do this, we use AdaBoost learning method with Modified Census Transform (MCT) to construct a two-class classifier. As a result of that, our frontal face classifier achieves high classification rate above 96% and fast performance about 10 frames/sec in mobile device.
引用
收藏
页码：2084 / 2087
页数：4
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