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光照变化情况下的静态头部姿态估计 被引量：4

Static Head Pose Estimation Under Different Illumination
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摘要 针对图像光照的变化对静态头部姿态估计的影响,该文提出一种基于有向梯度直方图和主成分分析的姿态特征,并利用SVM分类器进行分类。该算法分别在CMU姿态、光照、表情数据库和CVL人脸图像库上进行了测试。实验表明,即使图像光照变化很大,该算法仍可准确地估计头部姿态,识别率达到90%以上。 To solve head pose estimation problem under different illumination and expression, a new pose feature is proposed, which is based on Histogram of Oriented Gradient（HOG） feature and Principle Component Analysis（PCA）, and SVM classifier is used to classify different poses. The algorithm is tested based on CMU pose, illumination and expression database and CVL database. Experiment shows that the algorithm can estimate poses accurately under different illumination, and correct ratio arrives at 90%.
作者 刘坤 罗予频 杨士元
机构地区 清华大学自动化系
出处 《计算机工程》 CAS CSCD 北大核心 2008年第10期16-18,共3页 Computer Engineering
关键词 姿态估计 有向梯度直方图 光照 pose estimation Histogram of Oriented Gradient（HOG） illumination
分类号 TP319 [自动化与计算机技术—计算机软件与理论]
  • 相关文献

参考文献10

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共引文献30

同被引文献40

  • 1梁国远,查红彬,刘宏.基于三维模型和仿射对应原理的人脸姿态估计方法[J].计算机学报,2005,28(5):792-800. 被引量：25
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引证文献4

二级引证文献8

计算机工程
2008年 第10期

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