英汉例句

• human facial expression recognition is a very important but also difficult subject.

  人脸表情识别是模式识别中一个非常重要却十分复杂的课题。

• then current facial expression recognition technologies are roughly introduced.

  然后对近期人脸表情识别的方法进行了分类综述。

• the key algorithms of facial expression recognition are studied in this paper and we focus our attention on the research of methods for feature extraction.

  本文在研究表情识别关键算法的基础上，将重点放在特征提取方法的研究。

• facial expression recognition that has the extensive application future is gradually the hotspot of the human-computer interaction.

  人脸表情识别有着广泛的应用前景，逐渐成为当前人机交互领域的研究热点之一。

• recently, many novel methods are applied in the facial expression recognition such as artificial neural networks, support vector machines, wavelet analysis, hide markov model and optical flow, etc.

  近来，很多新的算法被应用在表情识别当中来，如：人工神经网络、支持向量机、小波分析、隐马尔可夫链模型和光流等。

• facial expression recognition includes the following steps: face detection;

  人脸表情识别包括：从背景图像中检测人脸；

• in recent years, the reasons for renewed interest in facial expression recognition are multiple, but mainly due to people have more interest about human computer interaction (hci).

  近年来，随着人们对人机交互兴趣的增加，表情识别逐渐成为一个研究热点。

• the algorithms of facial expression recognition system mainly contain images' preprocessing algorithms, feature extraction algorithms and classification algorithms.

  人脸表情识别系统中的算法主要有图像处理算法、特征提取算法和分类算法。

• in recent years, facial expression recognition has become a hot research direction in human computer interaction, machine learning, intelligent control and image processing.

  人脸表情识别是人机交互、机器学习、智能控制和图像处理等领域涉及的重要研究方向，目前已成为国内外研究的热点。

• as an important part of the technology for human-machine interface, facial expression recognition have drawn much attention recently.

  人脸表情识别作为智能化人机交互技术中的一个重要组成部分，近年来得到了广泛关注。

• it makes a detailed introduction to expression pre-processing methods, and looks forward to the future of facial expression recognition research.

  同时对表情处理的方法进行了介绍，展望了表情识别未来的研究重点。

• the human-head portrait robot system h&f robot-ii with vision, facial expression recognition and representation functions was designed and developed.

  本文设计并研制了具有视觉、表情识别与再现功能的仿人头像机器人h&frobot-ii系统。

• facial expression recognition is an effective and realizable feature in them.

  其中的人脸表情识别是一种有效且可行的特征。

• the methods of facial expression recognition based on pixel-level fusion, feature-level fusion and decision-level fusion are discussed.

  探讨了基于像素层、特征层和决策层融合的人脸表情识别。

• this paper proposes two high performance facial expression recognition methods.

  文中提出了两种高效的人脸表情识别算法。

• first, the lbp feature in facial expression recognition is presented.

  提出一种基于特征点lbp 信息的表情识别方法。

• research background of facial expression recognition and its relation to human vision system are briefly reviewed.

  首先对计算机人脸表情识别技术的研究背景及发展历程作了简单回顾。

• a facial expression recognition method based on graph-optimized locality preserving projections(golpp) is proposed in this paper.

  提出了一种基于图像优化局部保留投影的人脸表情识别方法。

• finally, combining the latest productions and applications at home and abroad, the expectation of the development of facial expression recognition was given.

  最后结合国内外最新的研究成果和应用领域，展望了人脸表情识别的发展。

• facial expression recognition and software changing skins in intellectualized and humanized hu-man-computer interaction have been studied in depth.

  人脸表情识别和软件换肤分别作为人机交互中的智能化和人性化技术得到了深入的研究。

• a facial expression recognition system contains face detection, face feature extraction, feature selection and expression classification.

  表情识别系统包括人脸检测、人脸特征提取、特征选择以及表情分类等几部分。

• in this paper, facial expression recognition of the four main areas were carried out research work.

  本文在人脸表情识别的四个主要环节上均进行了研究工作。

• facial expression recognition is an active research area in pattern recognition.

  人脸表情识别是模式识别领域中一个非常活跃的研究方向。