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由粗到细的渐进式特征点定位算法

Accuracy Increasing Lip Feature Point Location Algorithm

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【作者】 贾熹滨石勤尹宝才

【Author】 JIA Xi-bin, SHI Qin, YIN Bao-cai (Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, Beijing 100022, China)

【机构】 北京工业大学计算机学院多媒体与智能软件技术北京市重点实验室北京工业大学计算机学院多媒体与智能软件技术北京市重点实验室 北京100022北京100022

【摘要】 为了解决描述口形轮廓的特征点定位问题,提出了一种特征点定位算法,通过建立口形灰度图像与口形特征点矢量之间的线性映射关系,实现了特征点的初始定位.在此基础上利用局部纹理模型,对特征点位置进行了准确调整.该算法克服了单纯基于局部纹理模型可能陷入搜索过程中局部收敛的缺点.并提出了适合描述唇部特征的局部纹理模型,提高了特征点标定的准确性.

【Abstract】 In order to solve the feature points location problem of describing the month appearance, a kind of feature location algorithm was proposed. It realized the preliminary feature point location through establishing the affine relationship between lip gray scale image and lip feature point vector. Based on it, the local texture model is used to adjust every point’s accurate location. The feature point location algorithm the paper proposed overcomes the shortage of traditional local-texture-model-based algorithm, which may get in the local convergence. The paper proposed a kind of local texture model which is suitable to describing the lip appearance, and which improves the accuracy of feature point location.

【基金】 国家自然科学基金资助项目(60375007).
  • 【文献出处】 北京工业大学学报 ,Journal of Beijing University of Technology , 编辑部邮箱 ,2006年05期
  • 【分类号】TP391.41
  • 【下载频次】71
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