期刊文献+

一种改进的人脸检测新技术

An Improved New Technology of Face Detection
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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
关键词 人脸检测 多特征融合 GA ADABOOST face detection multi-features fusion genetic algorithm(GA) Adaboost
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参考文献6

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二级参考文献10

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