片语

facial personality feature人脸个性特征

Facial Feature Points Location特征点定位

facial expression feature面部表情特征

Facial contour feature extraction人脸轮廓特征提取

facial contour feature人脸轮廓特征

human facial feature extraction表情特征提取

visage(Visage)人名；(法)维萨热

Facial Feature Extraction人脸特征提取

facial geometric feature面部几何特征

英汉例句

• through the comparative analysis between ordinary facial feature vector and the standard value of perfect human face, the main factor of the imperfect face is imperfect facial contour.

  经过普通人脸特征向量与完美人脸标準值的比较分析，得出人脸不完美的主要因素是人脸轮廓的不完美。

• facial feature points localization takes an important role in the face recognition, facial expression analysis, cartoon face synthesis, etc.

  人脸特征点的定位在人脸识别、人脸表情分析以及卡通人脸生成等方面具有非常重要的作用。

• active shape models(asm) is one of powerful tools for facial feature location and face recognition.

  主动形状建模是面部特征定位和人脸识别等模式识别领域中常用的一种方法。

• precise facial feature points extraction is the key to solve these problems.

  特征点精确定位是解决这些问题的关键。

• in order to increase the accuracy and effectiveness of facial feature point labeling in training images, the paper designs a semi-automatic feature points labeling system.

  为提高大量训练图像人脸特征点标定的準确度以及标定工作的效率，论文设计了一个半自动的特征点标定系统。

• an improvement asm is proposed and this model is applied to facial feature localization.

  提出了一种改进的主动形状模型，并将其用于人脸面部特征定位的研究。

• a method(ga-aam) for searching facial feature points combining aam with genetic algorithm(ga) is proposed, which can improve the precision of searched chin contours.

  采用一种结合遗传算法和活动外表模型（aam）的人脸特征点定位方法（ga-aam），对aam算法在下巴轮廓提取中的不能精确收敛问题作了改进。

• this paper examines the research situation on face image detection and recognition and designs a facial feature automatic extract system.

  对人脸图像检测与识别技术的研究现状进行简要论述，并自行设计一个人脸特征自动提取系统。

• the innovative achievements of the thesis include:1. an improvement asm is proposed and this model is applied to facial feature localization.

  论文的创新性成果包括：1。提出了一种改进的主动形状模型，并将其用于人脸面部特征定位的研究。

• because the learning support vector machine is an instructing learning, a negative algorithm is introduced. the negative result of facial feature is provided for the support vector machine learning.

  针对支持向量机学习是一种有导师的学习，引入了否定算法，把人脸特征否定的结果来供支持向量机学习。

• we propose a simple and effective method of facial feature extraction based on geometrical characters of front face images.

  本文提出了一种基于几何特征的人脸正面图像特征提取方法。

• here, we use the singular value decomposition and principal component analysis for facial feature extraction, using the average distance category as discrimination on the basis of authentication.

  其中人脸特征提取采用了奇异值分解和主分量分析法，身份验证则采用了以类内平均距离为判据的算法。

• l-k optical flow algorithm is not very suitable in facial feature point tracking.

  原始l-k光流算法用于面部特征点跟蹤时，易出现跟蹤不稳定的情况。

• facial feature localization is the key of realizing facial image analysis. it has been widely applied to face recognition, 3d facial reconstruction and face image compression.

  人脸面部特征定位是实现人脸图像分析的关键，它已经被广泛应用于人脸识别、三维人脸重建和人脸图像压缩。

• definition of facial feature extraction affects direct rate of face recognition.

  人脸特征提取的精确与否直接影响到人脸识别的正确率。

• in the first step, several independent condensation-style particle filters are utilized to track each facial feature in temporal domain.

  首先在时间域上，使用几个相互独立的condensation类型的粒子滤波器分别跟蹤人脸的每个特征。

• second, in order to extract motion data of each facial part from a video stream, this dissertation studies multiple facial feature tracking algorithms.

  为了从视频流中提取基于人脸面部特征的运动数据，本文研究了人脸多特征跟蹤算法。

• the extraction of facial feature is the key to the human face recognition.

  脸部特征抽取是人脸识别技术的关键。

• active appearance models (aams) is an effective method of facial recognition and facial feature location, and has become a research hotspot in image processing areas.

  主动外观模型是进行人脸面部特征定位和人脸识别的有效方法，近年来已成为图像处理等领域的研究热点。

• this method is cheap and scalable, and it will obviously shorten the system response time when applied in huge-amount facial feature databases.

  这一方法灵活廉价，在海量人脸特征数据库中应用将显着提高系统响应速度。

• on the research of human cranium and head muscle, the definition of the facial feature points is given.

  在研究了人脸的颅骨、肌肉组织特点的基础上，给出了人脸特征点的定义及选取规则。

• in this dissertation, a new face representation algorithm based on weighted dct fusing global facial feature and local facial feature is proposed.

  本文基于dct变换，给出了一种融合人脸整体特征和局部特征的加权dct人脸表征算法。

• in addition to the head as a whole, each facial feature also has its own shadows and highlights — all of which deserve special consideration.

  除了作为一个整体，每头面部特征也有它自己的阴影和高光——所有这些值得特殊考虑。

• a novel strategy, which is different from the traditional texture mapping methods, is proposed for generating such a kind of dynamic facial textures according to the motion of facial feature points.

  与传统的纹理映射方法不同，提出一种根据脸部特征点运动来生成脸部动态纹理的新方法。

• system mainly divided into three modules:aam facial feature points positioning module, fap conversion module, and mpeg-4 model animation module.

  系统主要可分为三大模块：aam人脸特征点定位模块、fap转换模块、mpeg-4模型动画实现模块。

• this paper describes a method for semi automatic facial feature tracking in video sequences.

  文中提出一种跟蹤人脸特征点的方法。

• in the process of image analysis, the color, gray and gradient information are exploited to find the facial feature regions, which resolves the initial placement problem of deformable template.

  在图像分析中，利用颜色、灰度和梯度信息寻找特征区域，解决模板初始化位置问题，并用模板匹配方法估计表情运动参数。

• active shape models(asm) and active appearance models(aam) are effectively statistical tools for facial feature localization.

  主动形状模型和主动表观模型是进行人脸面部特征定位的有效的统计方法。