查询词典 face-lift

I give you face you don''t face,you lose you face ,I turn my face

给你脸你不要脸，你丢脸，我翻脸

I give you face you don't wanna face,you lose you face, I turn my face

你脸你不要脸，你丢脸，我翻脸

I give you face you don't wanna face,you lose you face,I turn my face

我给你脸你不要脸，你丢脸，我反脸

Give you face you don't wanna face,you lose your face ,I turn my face

给你脸你不要脸，你丢脸，我翻脸

I give you face you don't wanna face, you lose your face, I turn my face

给你脸你不要脸，你丢脸，我翻

I give you face you don't manna face, you lose you face ,I turn my face

给你脸你不要脸，你丢脸，我翻脸

First,the feature subspaces are formed from different pose images using ICA and PCA.Then the pose image is transformed into its corresponding frontal face image using the transformation matrix predetermined by learning.Based on this foundation,the wavelet transform is applied to face images,and the authors compare the frontal face feature coefficients directly which are obtained by using the transformation matrix with the feature coefficients of the original face images,the recognition rate is improved greatly.

首先利用ICA和PCA提取不同姿态人脸的特征子空间，然后利用通过训练得到的姿态转换矩阵合成其相对应的正面人脸图像，实验表明ICA人脸识别算法要优于PCA人脸识别算法，并在此基础上用小波对人脸图像进行预处理，据姿态转换矩阵得到的正面人脸特征系数直接进行分类比较，识别率得到了很大的提高。

I give you face you don't want face,you lose you face ,I rn my face.

给你脸你不要脸，你丢脸，我翻脸

The singular value vector of face image is analyzed and its nature is revealed,i.e.,the singular values of face image are obtained by decomposing the face in the special basis space that is determined by the face image.

通过对人脸图像奇异值的分析，证实了图像奇异值是图像在特定基空间分解得到的，这个基空间是由图像本身决定的。

In this paper, thermogram was used to do human face recognition. The thermogram of human face was captured from infrared camera. Image processing technologies were used to preprocess the captured thermogram. Then several features were extracted from the processed thermogram. These features included the distribution of temperature statistics, the perimeter of the face, the length/width ratio of the smallest rectangle which contained the face, and the triangle formed from the three lowest temperature points of the two cheeks and the chin. A three-layer back-propagation neural network was used as the recognition tool.

本文中利用红外线摄影机撷取人之脸部所散发之热分布影像以进行人脸辨识，热影像经过前处理后，再撷取与温度分布有关之相关特徵资料，所撷取之特徵资料包括温度统计分布、脸部边缘长度、包含脸部之最小矩形之长宽比、以及两颊与下巴三个部位之温度最低点之距离，并使用三层架构的倒传递类神经网路作为辨识的工具，辨识的过程包括两个步骤：训练与测试。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。