摘要
该文提出了一种基于多特征融合的人脸检测新方法。该方法首先用肤色分析算法对图像进行肤色分割.得到人脸区域的初步结果;然后根据灰度特征图像用基于GA的方法找到多个模板的人脸区域:最后用基于Adaboost多模板融合算法形成最终检测结果。通过实验表明,该方法与传统方法相比,识别率得到明显提高。
This paper proposes a new method based on Face detection based on Multi-Features Fusion. it consists threes steps: skin detection using probability-threshold algorithm . localize face region using GA based on multi-model, construct the last result using Adaboost classifier based color and texture. The experiment shows that the new method can provide satisfactory detection performance.
作者
唐科萍
袁思达
TANG Ke-ping, YUAN Si-da (Zhejiang Industry Polytechnic College, Shaoxing 312000, China)
出处
《电脑知识与技术》
2011年第1期182-184,共3页
Computer Knowledge and Technology