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1.A facial feature.
面貌特征收藏指正
2.ARG Model Based Human Facial Feature Location
基于ARG模型匹配算法的人脸特征定位收藏指正
3.Improvements are made to the standard ASM for facial feature localization.
在基于ASM的面部特征定位的研究中，本文对标准的ASM进行了改进。收藏指正
4.Multi-Template ASM and Its Application in Facial Feature Points Detection
多模板ASM方法及其在人脸特征点检测中的应用收藏指正
5.Improvement and Application of BMA in Facial Feature Extraction Based on MPEG-4
块匹配算法在基于MPEG-4的人脸特征提取中的改良及应用收藏指正
6.G-ASM: Facial Feature Tracking Based on Gabor Wavelet and Actvie Shape Model
G-ASM：一种基于Gabor Wavelet和Active Shape Model的人脸特征点跟踪方法收藏指正
7.(3) how to improve the robustness of AFR to inevitable mis-alignment of the facial feature.
(3)如何提高AFR系统对不可避免的配准错误的鲁棒性问题。收藏指正
8.2. A new AAM—ICA-based AAM is studied and this model is applied to facial feature localization.
2.研究了一种新型的主动表观模型—基于独立成分分析的主动表观模型,并将其应用于人脸面部特征定位。收藏指正
9.In the applications of 3D face model reconstruction,the precision of facial feature points,especially on chin contours,affects the reconstructed result directly.
三维人脸模型重建对下巴特征点精度要求很高.收藏指正
10.A method(GA-AAM) for searching facial feature points combining AAM with genetic algorithm(GA) is proposed,which can improve the precision of searched chin contours.
采用一种结合遗传算法和活动外表模型(AAM)的人脸特征点定位方法(GA-AAM),对AAM算法在下巴轮廓提取中的不能精确收敛问题作了改进.收藏指正
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