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Description: Wavelet transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally that when Wavelet coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes Wavelet-based face recognition much more accurate than other approaches.
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Author: mhm |
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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.
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Author: MJ |
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Description: ：针对传统Gabor变换在提取表情特征时，冗余较大、特征维数较高的不足，结合ASM
自动特征定位技术，提出了一种基于特征点Gabor特征和ASM 形状特征相融合的面部表情
识别方法．实验表明，两种特征的融合，可有效地利用特征点的局部纹理信息和脸部器官的整
体形状信息，达到了更好的面部表情识另4效果．-: Gabor transform traditional expression feature extraction, the redundancy large feature dimension is high enough, combined with ASM automatic feature location technique, the algorithm based on feature characteristics of Gabor features and the ASM shape fusion of facial expression recognition Methods. Experimental results show that the integration of two features, feature points can effectively use the local texture information and the overall shape of the face organs of information, to achieve a better effect of facial expression understanding the other 4.
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Author: MJ |
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Description: 提出了基于特征融合和模糊核判别分析(FKDA)的面部表情识别方法。首先，从每幅人脸图像中手工定
位34个基准点，作为面部表情图像的几何特征，同时采用Gabor小波变换方法对每幅表情图像进行变换，并提取基
准点处的Gabor小波系数值作为表情图像的Gabor特征；其次，利用典型相关分析技术对几何特征和Gabor特征进
行特征融合，作为表情识别的输人特征；然后，利用模糊核判别分析方法进一步提取表情的鉴别特征；最后，采用最
近邻分类器完成表情的分类识别。通过在JAFFE国际表情数据库和Ekman“面部表情图片”数据库上的实验，证实
了所提方法的有效性。-Proposed based on feature fusion and fuzzy kernel discriminant analysis (FKDA) facial expression recognition. First, face images of each piece of hand-set
Bit 34 basis points, as the geometric features of facial expression images, while using Gabor wavelet transform method to transform the images of each piece of expression, and extraction-based
Quasi-point of the Gabor wavelet coefficients, as Gabor features of facial expression image second, using canonical correlation analysis on the geometric features and Gabor features into
Line feature fusion, as expression recognition of input features then, using fuzzy kernel discriminant analysis method to extract and further identification features of expression Finally, the most
Neighbor classifier to complete expression of the classification. International expression by JAFFE database and Ekman "facial image" database on the experiment, confirmed
The proposed method.
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Author: MJ |
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Description: Along with biological features recognition technology s development，the
high precision biometric technology is widely used in the identity verification
more and more．Such as：fingerprint recognitions，iris scanning，retina
scanning，sound ripple，palm prints，facial features recognition and so
on．The technologies including fingerprints，retina，iris biometric recognition
have relatively high credibility and accuracy．Because fingerprint gathering is
relatively convenient and the hardware is easy to be realized，the fingerprint
recognition algorithm is more mature than the other biometric recognition
technologies．The fingerprint recognition has higher usability and feasibility in
terms of the overall performances．-Along with biological features recognition technology' s development, the high precision biometric technology is widely used in the identity verification more and more. Such as: fingerprint recognitions, iris scanning, retina scanning, sound ripple, palm prints, facial features recognition and so on. The technologies including fingerprints, retina, iris biometric recognition have relatively high credibility and accuracy. Because fingerprint gathering is relatively convenient and the hardware is easy to be realized, the fingerprint recognition algorithm is more mature than the other biometric recognition technologies. The fingerprint recognition has higher usability and feasibility in terms of the overall performances.
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Author: zhengxinlong |
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Description: 研究描述人脸特征的有效方法, 讨论身份证照片的特征提取和检索采用自适应肤色检测技术改进通用的肤色检测算法, 进行脸部区域的划分提出系数投影法对面部五官区域进行分割, 在各区域中提取面部几何特征引人描述脸颊和下额轮廓的曲线参数作为脸形特征, 得到对人脸特征更准确的描述将面部几何特征矢量匹配、脸形曲线参数匹配和脸部图像相关匹配相结合, 实现人像照片的准确检索实验表明该方法性能优良。-Describe the facial features of an effective way to discuss the ID card photo feature extraction and retrieval using adaptive skin color detection techniques improve the general detection algorithm for facial areas by the proposed coefficient of projection of the facial features to segment the region, in the Extraction of geometric features of the region face cheeks and under the places described in the introduction of profile parameters of the curve as facial features, facial features and get the more accurate description of the feature vector matching facial geometry, face curve parameter matching and matching facial images related to the combination of to achieve an accurate portrait photo retrieval experiments show that the method excellent.
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Author: 郭事业 |
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Description: 人脸视频图像编码是近年来图像编码领域里的一个研究热点问题,它在通信、互联网等方面有着广泛的应用前景。人脸图像编码的研究包含很多子问题,主要的三个方面为:精确的人脸目标定位算法,实时的人脸目标跟踪算法和高效的人脸图像编码方法。本文的主要研究工作在于: 1) 提出帧间差分和背景差分相结合的人脸目标定位算法,在人脸特征选择上,主要使用形状特征,通过椭圆拟合来得到人脸的位置。 2) 采用基于Kalman滤波的运动预测方法对人脸的区域变化进行预测,以此缩小目标可能存在的区域(ROI).-Facial video image coding image compression in recent years a hot research topic in the field of the problem, it is in the communication, the Internet have a wide range of applications. Coding of face images contain many sub-problems, the main three are: accurate target location algorithm for face, real-time face tracking algorithm and efficient facial image coding method. This major research work are: 1) of the frame difference and background difference goal of combining face localization algorithm, feature selection in the human face, the main use of shape features, by ellipse fitting to get the location of the face. 2) Kalman filtering based motion prediction method changes the face of the region predicted to narrow the possible target area (ROI).
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Author: 周参 |
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Description: 面部特征，人脸的疲劳检测算法，面部特征，人脸的疲劳检测算法-Facial features, face detection algorithm fatigue, facial features, face detection algorithm fatigue
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Author: mao |
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Description: 实现人脸特征定位及人脸描述符提取功能。很好很强大。-
To get started, run "demo". This detects faces in the example
image, loading cached detections from files if available,
localizes the facial features and extracts descriptors for each
face.
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Author: lyn |
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Description: 基于AAM的人脸模型的训练，并可以实现人脸的拟合，在opencv基础上开发。-AAM（Active Appearance Models）source code。It is developped under OpenCV 1.0 for locating facial features。
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Author: yuanwenhong |
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Description: 软件VC++大型项目开发文档，提供一个程序员的参考范例，非常实用和有用。-classic example of face recognition algorithm, providing facial features specific positioning algorithm and the two implementation process.
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Author: jack |
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Description: 这是一个人的五官的二维显示，是用OPENGL做的，适合初学者-This is a person' s facial features of two-dimensional display, is to do with OPENGL, suitable for beginners
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Author: 许私募 |
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Description: The aim of the project was to propose a method for reliable detection and extraction of
facial features in two and three dimensions.
Several 2D methods were attempted – edge detection, intensity scanning, and Gabor
transform. The Gabor transform method included much filtering. The edge detection and
intensity scanning methods were largely unreliable. The Gabor transform method was
highly reliable under controlled conditions, and about 60 reliable under uncontrolled
conditions, when it was tested on the Yale Database.
3D methods were attempted, but were never successfully implemented.
The 2D aim was largely met by the Gabor transform method.
The aim was not fulfilled in 3D.
The aim in terms of extraction was fulfilled by an anthropometrical method based on the
work of Kwok-Wai Wong et al.
3-The aim of the project was to propose a method for reliable detection and extraction of
facial features in two and three dimensions.
Several 2D methods were attempted – edge detection, intensity scanning, and Gabor
transform. The Gabor transform method included much filtering. The edge detection and
intensity scanning methods were largely unreliable. The Gabor transform method was
highly reliable under controlled conditions, and about 60 reliable under uncontrolled
conditions, when it was tested on the Yale Database.
3D methods were attempted, but were never successfully implemented.
The 2D aim was largely met by the Gabor transform method.
The aim was not fulfilled in 3D.
The aim in terms of extraction was fulfilled by an anthropometrical method based on the
work of Kwok-Wai Wong et al.
3
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Author: brahmia djaber |
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Description: 人脸识别算法，包括特征空间的训练，特征脸的形成-Face recognition algorithms, including the training feature space, the formation of facial features
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Author: 于希 |
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Description: 用于提取人脸特征的2DLDA和2DPCA算法，希望对你有所帮助-For extracting facial features 2DLDA and 2DPCA algorithm, I hope for your help
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Size: 2048 |
Author: 江敏 |
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Description: 人脸识别，针对基础作业，可以实现人脸的特征识别-Recognition, for the basic operations, can identify facial features
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Author: 廖减员 |
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Description: 结合Gabor特征和adaboost的人脸表情识别方法，内附matlab源程序和实验-Combination of Gabor features and adaboost of facial expression recognition methods, and experimental matlab source code included
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Author: 刺史 |
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Description: 这是通过OpenCV编写的计算机人脸识别的工程，包含提取脸部特点的简单算法-This is written by the OpenCV face recognition computer engineering, including a simple algorithm to extract facial features
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Author: cici |
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Description: vialo-jones人脸检测和识别算法的c参考实现，适合移植到多个平台-These are the source files for stasm, which is a command line program
for locating features in a face using Active Shape Models. You give
stasm an image file (i.e. a JPEG or BMP) and it returns the image with
the facial features marked out on the image. It also returns the coordinates of the face landmarks in the file "log"
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Author: jam |
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Description: 从图像中提取面部特征，然后根据这些特征值，恢复出图像-Extract facial features, then these eigenvalues and restore the image from the image
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Author: 苏凯 |
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