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   local texture model 的翻译结果: 查询用时:0.008秒
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local texture model
相关语句
  局部纹理模型
     With this criterion, searching method based on local texture model and the one base on global texture prediction are connected.
     利用该匹配度评定标准,将基于局部纹理模型的搜索方法和基于全局纹理预测的方法有机的结合了起来,保证了搜索过程中匹配度的不断提高,从而提高了搜索方法的鲁棒性。
短句来源
     In our researches for facial features localization, active shape model (ASM) and active appearance model (AAM) are used, and a new method is put forward based on the combination of local texture model and global texture model.
     在人脸面部特征定位的研究中,采用了基于主动形状模型(ASM)和主动表观模型(AAM)的方法。 并在此基础上,提出了基于局部纹理模型和全局纹理模型相结合的图像解释方法来进行面部特征定位。
短句来源
     Based on the analysis of the theory and capability of ASM&AAM, a new method is put forward by combination of local texture model and global texture model.
     通过对ASM和AAM原理及性能的综合分析,本文提出了基于局部纹理模型和全局纹理模型相结合的图像解释方法。
短句来源
     Not only the local texture model in ASM is adopted in this method, the global texture is used as well to restrict the result and to predict a new shape.
     该方法在利用ASM中局部纹理模型搜索方法的同时,又利用了全局纹理来进行合理性约束,并采用了基于全局纹理来进行形状预测的方法。
短句来源
  相似匹配句对
     Method for Segmenting Local Regions in Texture Image
     纹理图像的局部区域提取方法
短句来源
     On Texture Feature Extraction Based on Local Walsh Transform
     基于局部沃尔什变换的纹理特征提取方法研究
短句来源
     local characteristics;
     在纵横比较中把握地方特色 ;
短句来源
     petrological texture;
     岩石结构;
短句来源
     And it has the local ADO.
     通过在客户端表示层增设本地的ADO.
短句来源
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In order to solve the feature points location problem, which are used to describe the month appearance, a kind of feature location algorithm was proposed. It realizes 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...

In order to solve the feature points location problem, which are used to describe the month appearance, a kind of feature location algorithm was proposed. It realizes 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 only algorithm, which may get in the local convergence. The paper proposes a kind of local texture model which is suitable to describe the lip appearance and improves the accuracy of feature point location.

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,实现了对特征 点位置的进一步准确调整.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.

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...

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.

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.

 
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