针对真实感人脸模型匹配的细节控制和稳健创建问题，提出了线性人脸对象类模型的匹配提升技术。
An advanced matching technique for linear face class model is proposed, which can solve the problem of detailed controlling and robust iteration for the realistic facial modeling.
根据形变模型的构造特点，把待匹配图像按照与模型相同方式进行加细，然后进行多分辨的人脸模型匹配。
According to the characteristics of the morphable model, we refine an input image in the same way as the model, and then rebuild face model through multi-resolution matching.
在人脸跟踪领域，本文对比了当前几种主要的相似度匹配方法，采用了一种基于特征空间模型的人脸跟踪方法。
In the field of human face tracking, we contrast several main similarity methods nowadays, and adopt a method of human face tracking based on feature space model.
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