面部表情

After building the eigenspace using the principle component analysis and reprocessing

本文详细地分析了面部运动单元与本征向量的对应关系，对按照贡献率得到的本征向量进行再次筛选，使得各类基本表情之间的区分度更好，数据压缩效率也更高。

It's a bit surprising that this is the first study of facial expressions of pain in nonhumans.

令人有点儿吃惊的是，这是首次对动物的面部痛苦表情的研究。

In dogs with a dark mask the expression appears more stern, but never ill-natured.

面部有深色面具，使表情显得严厉，但不凶恶。

Negative symptoms are marked by absence as much as presence: inexpressive faces, monotone speech, few gestures, seeming lack of interest in the world, and inability to feel pleasure. Positive symptoms make treatment seem more urgent.

阴性症状不明显：面部无表情、讲话单调、几乎不打手势、对周围的一切缺乏兴趣、不开心。the Harvard Mental Health Letter的主编，Michael Miller博士说：阳性症状令人觉得治疗迫在眉睫。

But, being a photographer, I have the peculiar habit of analyzing people's faces, and I was struck by the features of the passenger on my left.

但是，作为一个摄影师，我有个特别的习惯，就是分析别人的表情。这不，我就被我左边乘客的面部神色打动了。

Or make them feel sheepish in order to analyze the facial expressions of embarrassment?

或者，为了要分析他们的面部窘迫的表情呢，如何让他们感到一点不好意思？

With the advantage of evidence reasoning on dealing with the uncertain and conflict information,the algorithm manages the uncertain information of faces because of illumination,circumgyrate and expression by fusion of several facial features.The algorithm is used to improve the result of recognition and the ability of recognizing the sort beyond the training sorts.

该算法利用证据推理理论在处理不确定和冲突信息方面的优越性，融合多个面部特征的信息，有效地处理了人脸图像由于光照、旋转、表情等因素造成不确定信息，从而达到改善识别结果以及增强识别系统对训练样本库以外类别的识别能力。

To this end, the artists experimented with facial features and expressions, as well as costuming, to achieve character individuality.

为此，艺术家们尝试着加入不同的面部特征、表情，以及各异的着装，来区别不同角色。

Median baseline scores for facial grimacing, crying, and visual analog scale did not differ significantly between groups.

在不同组间，婴儿的面部痛苦表情、哭叫和可视得分的平均基线得分并没有显著的差别。

When singer get eociting, his or her voice rose high rhy them speed up, timble get loud, pitch get high, and the movement range of face hand and body increase; when singing a very sad and grudgeful songs, his or her voice fall timbre get blue, pitch decrease and emotional move ment change accordingly.

当内心情感激动奔放时，声音力度增强，节奏加快，音色宏亮，音调高昂，面部、手以及全身动作幅度增大；当演唱极度悲伤与怨恨的歌曲时，声音力度就会减弱、音色暗淡、音调低沉，表情动作也有相应的变化。

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。