Description: 用aplet实现的很有意思的人物表情，简单事件侦听器的实现-used to achieve the very interesting characters facial expressions, a simple incident interception for the realization Platform: |
Size: 1555 |
Author:李力 |
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Description: 玩具机器人的PC控制程序,该机器人可做面部表情,该界面可以保持多种表情和对每个部位做调整.-toy robot PC control procedures, the robot can do facial expressions, The interface can be maintained for a variety of expressions and each location adjusted. etc. Platform: |
Size: 29810 |
Author:黄强 |
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Description: 基于弹性模板匹配的人脸表情识别程序。首先针对静态表情图像进行表情图像的灰度、尺寸归一化，然后利用Gabor小波变换提取人脸表情特征以构造表情弹性图，最后提出基于弹性模板匹配及K-近邻的分类算法实现人脸表情的识别。-based on elastic template matching Facial Expression identification procedures. First of all expressions against static image looked gray image size uniform, Then Gabor wavelet transform to extract facial expressions to tectonic features flexible expression maps, Finally, based on elastic template matching and K-neighbor classification algorithm facial expression recognition. Platform: |
Size: 748615 |
Author:张冥 |
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Description: 人耳识别技术是20世纪90年代末开始兴起的一种生物特征识别技术，与其它生物特征识别技术比较具有以下几个特点：（1）与人脸识别方法比较，耳识别方法不受面部表情、化妆品和胡须变化的影响，同时保留了面部识别图象采集方便的优点，与人脸相比，整个人耳的颜色更加一致、图像尺寸更小，数据处理量也更小。（2）与指纹识别方法比较，耳图象的获取是一种被动方式，即通过非接触方式获取耳图像，不存在通过接触传染疾病的机会，因此，其信息获取方式具有容易被人接受的优点。（3）与虹膜识别方法比较，首先，由于人脸和头发的存在，需要在耳识别过程中增加一个耳区域定位步骤，这并不影响耳特征的提取，而眼毛对虹膜的遮挡将直接影响虹膜特征的提取。头发对于耳的遮挡可以容易地避免，而眼毛对于虹膜的遮挡是生理结构决定的，也是难以避免的。其次，就目前的技术而言，虹膜采集需要测试者与采集装置之间的位置在机器发出的语言提示下进行不断地调整，同时要瞪大眼睛，使虹膜尽可能暴露，初试者通常要反复多次调整才能够达到要求，而耳采集方式与脸采集方式基本相同，测试者很容易达到拍摄图象的要求条件。最后，虹膜采集装置的成本要高于耳采集装置。-ear recognition technology of the 20th century, the beginning of the end of the 1990s the rise of a biometric identification technology, and other biometric identification technology compared with the following characteristics : (1) and face recognition methods, Ear Recognition from facial expressions, cosmetics and beards change, while retaining a facial recognition image acquisition convenience advantages, and face, the ears of the whole person more consistent color. Image size is smaller, the amount of data processing are even smaller. (2) and fingerprint identification methods, the ear image acquisition is a passive way, through non-contact ear acquire images, and there is no disease transmitted by the opportunity, therefore, its way to obtain information is easily accepted advantages. Platform: |
Size: 202988 |
Author:蒋建军 |
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Description: 可爱的小新在屏幕上来回跑动。在跑动过程中，小新有丰富的肢体动作和面部表情哦。-lovely small screen in the new Running back. Running in the process, the small new rich physical movements and facial expressions oh. Platform: |
Size: 249479 |
Author:夏雨 |
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Description: 一款基于PHP的、以MySQL为数据库支持的单用户blog（网络日志）程序
特色有：
丰富实用的功能与简单的使用；
基于XHTML+CSS+div 布局的模板结构；
可自由定制的页面模块；
部分基于Ajax的新体验；
多语言包化与UTF-8国际编码；
强大的spam信息防御机制；
RSS、XML-RPC、Tags支持；
内置留言本、天气、表情、置顶、验证码、头像等；
可通过插件与模板增强您的个性功能
更新内容：
修复一些BUG，改进一些细节；
RSS中使用img贴图时对本地图片输出为绝对路径；
RSS模板与系统模板分开；
img标签宽度和高度的更自由定义；
可在后台重建整个日历；
UBB编辑器多语言化。
-A Based on PHP, to MySQL database support for the single-user blog (Web log) program features are: a rich and practical features and simple to use based on XHTML CSS div layout template structure free customized page module Ajax based in part on a new experience multi-language packages and UTF-8 international coding powerful spam defense mechanism of information RSS, XML-RPC, Tags support built Guestbook, weather, facial expressions, set-top, validation code, Head, etc. available through plug-ins and templates to enhance your personalized features Platform: |
Size: 420864 |
Author:hui |
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Description: 用aplet实现的很有意思的人物表情，简单事件侦听器的实现-used to achieve the very interesting characters facial expressions, a simple incident interception for the realization Platform: |
Size: 1024 |
Author: |
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Description: 玩具机器人的PC控制程序,该机器人可做面部表情,该界面可以保持多种表情和对每个部位做调整.-toy robot PC control procedures, the robot can do facial expressions, The interface can be maintained for a variety of expressions and each location adjusted. etc. Platform: |
Size: 29696 |
Author:黄强 |
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Description: 为了更准确地识别人的表情，在识别人脸7 种基本表情（愤怒、厌恶、恐惧、高兴、无表情、悲伤和惊讶）时，采用了局域二值
模式技术提取面部特征，进行由粗略到精细的表情分类。在粗略分类阶段，7 种基本表情中的2 种表情被选为初步分类结果（候选表情）。
在精细分类阶段，选用计算加权卡方值确定最终分类结果。采用日本的Jaffe 表情数据库来验证算法性能，对陌生人表情的识别率为77.9％，
其结果优于采用同样数据库的其他方法，且易于实现-In order to more accurately identify the person s facial expressions, in the identification of seven kinds of basic facial expressions (anger, disgust, fear, happy, expressionless, sadness and surprise), the use of local binary pattern of facial features extraction techniques, carried out by the rough to the fine expression classification. In the rough classification stage, the seven kinds of basic expressions in the two kinds of expression was selected as the initial classification results (candidate expressions). In the fine classification stage, the choice of calculating the weighted chi-square value to determine the final classification results. Jaffe expressions used in Japan to validate algorithm performance database of strangers face recognition rate was 77.9, the result is better than using the same database in other ways, and are easy to achieve Platform: |
Size: 212992 |
Author:张波 |
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Description: 人脸识别论文：《采用Adaboost算法进行面部表情识别》《动态权值预划分实值Adaboost人脸检测算法》《改进的AdaBoost分类器在视频中的体育场景检测》-Face recognition thesis: the use of Adaboost algorithm to identify facial expressions, dynamic weight pre-classified real Adaboost face detection algorithm, Improved AdaBoost classifier of sports in the video scene detection Platform: |
Size: 520192 |
Author:王云 |
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Description: 3d嘴唇合成动画，包括嘴唇模型，舌头运动模型，以及脸部表情合成，可用于多语言动画合成。-Synthesis of 3d animated lips, including the lips, model, model of tongue movement, as well as the synthesis of facial expressions can be used for synthesis of multi-language animation. Platform: |
Size: 20884480 |
Author:liu |
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Description: 擅 蔓：以人脸的表情识别为实验背景， 分析了在对人脸表情的识别过程中，单个独立分薰对识别率的影响，由此进一步总结了在表情识
别中如何更有效地选取独立子空间，以实现在不影响识别率的前提下，减少用于构成独立子空问所需的独立分量的个数。 独立成分分析；表情识别；独立子空间 -Good man: Face to face identification for the experimental background, the analysis of facial expressions in the identification process, a single smoked separate the impact of the recognition rate, thus further summarized in the expression recognition of how to more effectively select the independent sub-space in order to achieve the recognition rate does not affect the premise, for constituting a separate sub-reducing space required for the number of independent component. Independent component analysis expression recognition independent subspace Platform: |
Size: 272384 |
Author:金振东 |
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Description: 国外有关三维人脸表情识别的文献。IEEE上面的，有兴趣的可以看看。-Automatic Registration of Vertex Correspondences for 3D Facial Expression Analysis.
3D facial expression recognition based on automatically selected features.
3D facial expression recognition with geometrically localized facial features.
3D facial expression recognition using swarm intelligence.
Analyzing Facial Expressions Using Intensity-Variant 3D Data For Human Computer Interaction. Platform: |
Size: 7428096 |
Author: |
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Description: Real-Time Facial Feature Point Extraction-Localization of facial feature points is an important step for many subsequent facial image analysis tasks. In this paper, we proposed a new coarse-to-fine method for extracting 20 facial feature points from image sequences. In particular, the Viola-Jones face detection method is extended to detect small-scale facial components with wide shape variations, and linear Kalman filters are used to smoothly track the feature points by handling detection errors and head rotations. The proposed method achieved higher than 90 detection rate when tested on the BioID face database and the FG-NET facial expression database. Moreover, our method shows robust performance against the variation of face resolutions and facial expressions. Platform: |
Size: 871424 |
Author:Ng Jack |
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Description: A very good paper that explain tracking facial feature under varying face pose and facial expression-This paper presents a hierarchical multi-state pose-dependent approach for facial feature detection and tracking under varying facial expression and face pose. For effective and efficient representation of feature points, a hybrid representation that integrates Gabor wavelets and gray-level profiles is proposed. To model the spatial relations among feature points, a hierarchical statistical face shape model is proposed to characterize both the global shape of human face and the local structural details of each facial component. Furthermore, multi-state local shape models are introduced to deal with shape variations of some facial components under different facial expressions. During detection and tracking, both facial component states and feature point positions, constrained by the hierarchical face shape model, are dynamically estimated using a switching hypothesized measurements (SHM) model. Experimental results demonstrate that the proposed method accurately and robustly tracks faci Platform: |
Size: 958464 |
Author:Ng Jack |
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Description: This a software utility. It provides auto attendance management system using face detection technique. Now a day’s many utilities provide face detection system but not intelligent. Our project is more intelligent, cost less and very easy to configure anywhere.
Human face detection is the most important process in applications such as video surveillance, human computer interface, face recognition, and image database management. Face detection algorithms have primary factors that decrease a detection ratio : variation by lighting effect, location and rotation, distance of object, complex background. Due to variations in illumination, background, visual angle and facial expressions, the problem of machine face detection is complex. -This is a software utility. It provides auto attendance management system using face detection technique. Now a day’s many utilities provide face detection system but not intelligent. Our project is more intelligent, cost less and very easy to configure anywhere.
Human face detection is the most important process in applications such as video surveillance, human computer interface, face recognition, and image database management. Face detection algorithms have primary factors that decrease a detection ratio : variation by lighting effect, location and rotation, distance of object, complex background. Due to variations in illumination, background, visual angle and facial expressions, the problem of machine face detection is complex.
Platform: |
Size: 2751488 |
Author:minu |
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Description: 论文提出一种全自动识别人脸七种基本表情(愤怒、厌恶、恐惧、高兴、无表情、悲伤和惊奇)的方法。该方法首先
采用几何模型匹配法自动定位出人眼，在此基础上进行人脸大小归一化，然后利用局域二值模式(Local Binary Pattern．
LBP)技术提取面部特征，最后采用由粗到细的方案进行表情分类。采用日本的JAFFE公用表情数据库来检测算法的性
能，实验结果验证了方法的有效性。-Paper proposes a fully automatic identification of seven basic facial expressions (anger, disgust, fear, happy, neutral, sadness, and surprise) method. In this method, the geometric model matching method with automatic positioning to human eyes, in this based on the human face of Size Normalization and then use local binary pattern (Local Binary Pattern. LBP) Jishu extract facial features, and finally using coarse-to- fine program expression classification. Public expression of Japan' s JAFFE database performance detection algorithm, experimental results verify the validity of the method. Platform: |
Size: 171008 |
Author:MJ |
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Description: 这是我找到的一些关于表情识别方面的近几年的文章综述。从而可以了解近几年人脸表情识别的发展状况，其中包括国外的相关文章。很有帮助！-I found these articles about facial expressions review recently. And then we can know development about facial expression in domestic and foreign. Platform: |
Size: 23966720 |
Author:徐晴 |
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Description: Will detect facial expressions in an video formate and find it by using neural networks Platform: |
Size: 9273344 |
Author:karthik |
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Search - facial expressions