提出了基于数学形态学的幻想脸重建算法，设计了表达图像特征的张量结构，介绍了幻想脸的重建步骤。
The algorithm designed a tensor structure to represent image features and shows the detailed process of hallucinating face reconstruction.
结果表明，该算法的计算效率和检测精度均优于特征脸方法。
The results show that the computational efficiency and detection accuracy of the proposed algorithm is superior to Eigenfaces method.
提出一种全自动面部特征提取算法模型和三维人脸从侧面和正面的正交的人的脸被标定相机。
We present a fully automated algorithm for facial feature extraction and 3D face modeling from a pair of orthogonal frontal and profile view images of a person's face taken by calibrated cameras.
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