face up to sth

与face up to sth相关的网络例句 [注：此内容来源于网络，仅供参考]

Enjoy doing sth finish doing sth feel like doing sth stop doing sth forget doing sth go on doing sth 乐于做某事完成做某事想要做某事停止做某事忘记做过某事继续做某事 remember doing sth like doing sth keep sb doing sth find sb doing sth see/hear/watch sb doing sth try doing sth need doing sth prefer doing sth mind doing sth practice doing sth be busy doing sth can't help doing sth miss doing sth

主语的第三人称单数形式，即可用"he， he， she， it my friend， his teacher， our classroom，记得做过某事喜欢做某事使某人一直做某事发现某人做某事看到/听到/观看某人做某事试图做某事需要做某事宁愿做某事介意做某事练习做某事忙于做某事禁不住做某事错过做某事 she， it"代替的。

Around the world international aids go wrong keep the peace a shortage of food cause sb. to do sth. live in poverty in real life people in need belong to the UN a UN Goodwill ambassador give a speech be pleased to do sth. have the chance to do sth. refer to sb./ sth. be made up of mean to do sth./ doing sth. be honoured to do sth. take on this role set up / about doing / down / out to do be based on develop friendly relations with sb. co-operate in doing sth. promote respect for human rights as you know touch the lives of people everywhere be involved in with the help of sb. worthy organizations be worth doing sth.= be worthy of being done assist the victims of wars in addition protect sb. from doing sth. prevent sb .from doing sth . child labour record sth.= make records of be aware of sth./ make sb aware of draw one's attention=draw the attention of sb. add sth. to sth.

add up / add up to under the umbrella of 全世界国际援助出错保持和平缺少食物导致某人做某事生活贫穷在现实生活中有需要的人属于联合国一位联合国亲善大使做讲座高兴做某事有机会做某事谈及某人或某事由某物组成打算做某事/意味着做某事荣幸做某事承担这个角色建立/着手工作/写下/开始做以…为基础和某人发展友好关系合作做某事促进对人权的尊敬正如你所知道的涉及每个地方人们的生活涉及；卷入在某人的帮助下令人尊敬的组织值得做某事帮助战争的受难者除了保护某人免受…的伤害阻止某人做某事童工记录某事意识到引起某人的注意把…加到…/加起来/加起来为在…的保护下 17 41。

It solves the problem that the unitary contour presentation can not correctly extract face contour in a face image which suffers from scale, rotation etc. The definition of the internal and external energy function is provided. At the same time, the global matching algorithm and local matching algorithm is given. The experiment shows that this presentation and the accompanying matching algorithm can be used to extract the face contour very well. So the image segmentation can be implemented by using it.②By analyzing the recognition principle of PCA method, we can conclude that the face images coming from different surrounding consist of different face image space. This is the essential reason that makes the generality of PCA method worse. Also, we give a measurement means to measure the distance from different face image space, so we can analyze face image space more conveniently.③We also construct various scale models and rotation pose models to detect the scale and rotating angle of face image to be recognized. The experiment results show that the detecting precision is very high. So it is good for face image feature extraction and face image representation.④Similarly, we construct local feature models of face image and utilize them to detect the local feature of face image. At the same time, we put forward a novel face image local feature detection algorithm, locating step by step. The experiment results show that this method can accurately detect the location of local face feature in a image.⑤A novel face image presentation model, dual attribute graph , is put forward. Firstly, it utilizes attribute graph to present the face image, then exact the local principal component coefficient and Gabor transform coefficient of thc pixels which corresponds to the nodes of the graph as the attribute of the nodes. This representation fully makes use of the statistical characteristic of the local face feature and utilizes Gabor transform to present the topographical structure of face image. So DAG has more general property.⑥Based on the DAG presentation, we give a DAG matching function and matching algorithm. During the design of the function and algorithm, the noise factor, e. g., lighting, scale and rotation pose are considered and tried to be eliminated. So the algorithm can give more general property.⑦A general face image recognition system is implemented. The experiment show the system can get better recognition performance under the noise surrounding of lighting, scale and rotation pose.

本文在上述研究的基础上，取得了如下主要研究成果：①构造了一个通用的人脸轮廓模型表示，解决了由于人脸图象尺度、旋转等因素而使得仅用单一轮廓表示无法正确提取人脸轮廓的问题，并给出了模型内、外能函数的定义，同时给出了模型的全局与局部匹配算法，实验表明，使用这种表示形式以及匹配算法，能够较好地提取人脸图象的轮廓，可实际用于人脸图象的分割；②深入分析了PCA方法的识别机制，得出不同成象条件下的人脸图象构成不同的人脸图象空间的结论，同时指出这也是造成PCA方法通用性较差的本质原因，并给出了不同人脸空间距离的一种度量方法，使用该度量方法能够直观地对人脸图象空间进行分析；③构造了各种尺度模板、旋转姿势模板以用于探测待识人脸图象的尺度、旋转角度，实验结果表明，探测精确度很高，从而有利于人脸图象特征提取，以及图象的有效表示；④构造了人脸图象的各局部特征模板，用于人脸图象局部特征的探测；同时提出了一种新的人脸图象局部特征探测法---逐步求精定位法，实验结果表明，使用这种方法能够精确地得到人脸图象各局部特征的位置；⑤提出了一种新的人脸图象表示法---双属性图表示法；利用属性图来表示人脸图象，并提取图节点对应图象位置的局部主成分特征系数以及Gabor变换系数作为图节点的属性，这种表示方法充分利用了人脸图象的局部特征的统计特性，并且使用Gabor变换来反映人脸图象的拓扑结构，从而使得双属性图表示法具有较强的通用性；⑥在双属性图表示的基础上，给出双属性图匹配函数及匹配算法，在函数及算法设计过程中，考虑并解决了光照、尺度、旋转姿势变化等因素对人脸图象识别的影响，使得匹配算法具有较强的通用性；⑦设计并实现了一个通用的人脸图象识别系统，实验结果表明，该系统在图象光照、尺度、旋转姿势情况下，得到了较好的识别效果。

与face up to sth相关的网络解释 [注：此内容来源于网络，仅供参考]

face up to sth：勇敢地对付

save one's face 保全面子 | face up to sth勇敢地对付 | facet n.刻面,(问题的)一个方面

face up to sth：勇敢面对

6. look up to sth.抬头看;仰慕 | 7. face up to sth.勇敢面对 | 8. make up for sth.弥补