Location:
Search - Facial points
Search list
Description: 为了实现实时的低带宽和基于手机平台的情感通信，传输的数据量必须足够小，鉴于人脸视频图像的表情信息和纹理信息量很大，我们采用了基于特征点的人脸表情再现和视频传输。因此特征点序列的预处理对人脸表情卡通话显得尤为重要.-In order to realize low-bandwidth and real-time mobile phone platform based on emotional communication, the amount of data transmission must be small enough, in view of facial expression video image information and a great texture information, we have adopted a feature points based on the Facial Expression and video reproduction transmission. Therefore feature point sequences preconditioning on Facial Expression, then a cartoon seems particularly important.
Platform: |
Size: 4384768 |
Author: fjwang |
Hits:
Description: 本文介绍了一种灰色图像识别中进行人眼睛定位的算法,首先是根据人脸的水平灰度直方图来确定眼睛的位置,然后,
通过计算眼眶部分像素点的垂直灰度直方图来确定两眼中心,接着从获得的区域中找出一定数量的灰度值小的点,对这些点进行添加、删除和计算,实现眼睛的定位．-In this paper, a gray image recognition in the human eye location algorithm, the first is based on the level of facial histogram to determine the location of the eyes, and then, by calculating the orbital part of the vertical pixel histogram to determine the two Eye Center, and then from the region access to a certain number of gray value to identify a small point, on these points add, delete, and calculated to achieve the positioning of the eyes.
Platform: |
Size: 1664000 |
Author: 闫慧 |
Hits:
Description: 实现人脸特征点的定位的论文，希望对大家有所帮助。-Facial feature points to achieve the positioning of the thesis, I hope all of you to help.
Platform: |
Size: 665600 |
Author: lihongsheng |
Hits:
Description: 从大量的正侧面脸部照片采集着手构建了正、侧面脸部信息的人脸库，依据人体测量学、人体解剖学等脸部关键特征的原则定义了脸部测量点及测量项目。基于建立的人脸数据库中测量点定义模型的正侧面特征点，采用径向基函数插值的方法对模型进行调整，生成特定人脸模型。-From the side of the face is a lot of photos to build a collection is started, the side face of the face database of information based on anthropometry, human anatomy, such as the face of the principle of the key features of the definition of the measurement points and facial measurements. Face-based database established in the definition of measurement points is the side of model feature points, the use of radial basis function interpolation method to adjust the model to generate a specific face model.
Platform: |
Size: 4191232 |
Author: xiuguohao |
Hits:
Description: CANDIDE-3 软件包。 Wincandide。是基于OpenGL和VC++的软件包。-CANDIDE-3 has been derived from the original one. The main purpose of another model is to simplify animation by MPEG-4 Facial Animation Parameters .Therefore, about 20 vertices have been added, most of them corresponding to MPEG4 feature points. This model is called Candide-3 and is included in the WinCandide package.
Platform: |
Size: 14838784 |
Author: 任课 |
Hits:
Description: 基於ASM實現了對人臉特徵點的提取，已經訓練好的庫-ASM-based implementation of facial feature points extraction, has been training for a good library
Platform: |
Size: 25171968 |
Author: 凝 |
Hits:
Description: 人脸特征点手工标定程序，在人脸识别训练过程中标定特征点-Facial feature points manual calibration procedures, the training process in the face recognition feature points in the calibration
Platform: |
Size: 2048 |
Author: 黄 |
Hits:
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 |
Hits:
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 |
Hits:
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.
Platform: |
Size: 365568 |
Author: MJ |
Hits:
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.
Platform: |
Size: 375808 |
Author: MJ |
Hits:
Description: 可以直接安装使用的asm的程序，用于提取人脸部的六十八的特征点-Asm can be directly installed on the procedures used for the extraction of the 68 human facial feature points
Platform: |
Size: 27787264 |
Author: cathyming |
Hits:
Description: Face detection with facial Expression Analyze, Feature points stored in excel sheet,GUI module also used.
Platform: |
Size: 94208 |
Author: Amburose |
Hits:
Description: AAM人脸特征点定位
牛人写好的api 方便使用 帮助研究
-AAM facial feature points
Platform: |
Size: 2959360 |
Author: ly |
Hits:
Description: 研究一种红外医学图像处理与分析方法,实现红外人脸图像中特征区域的自动定位。方法
针对红外正面脸部图像,采用一种无监督的局部和全局的特征提取方法,首先通过阈值法区分出前景和
背景,并根据面部特征对称性在前景中确定鼻区 然后在面部确定一个包含所有特征的矩形区域,利用
Harris算子在该区域检测出角点,并找出这些点的局部最大值点 最后用K-means方法对这些点进行
聚类
-To develop an mi age analyzing procedure forautomatic localization of facial fea-
tures on infrared mi ages.M ethodsAn unsupervised localand global features extractionmethodwas
adopted for the localization of facial features of frontalview face mi age. First, a thresholdwas used
to segment the mi age into foreground and background, and the nose was localized by considering
the symmetry of the face. Second, Harris operatorwas adopted to detect interest points in a rec-
tangulararea covering allthe facial features, and then localmaxmi um of the interestpointswere de-
tected. And finally, K-means clusteringmethodwas used to cluster the points and obtain the facial
features localization.
Platform: |
Size: 165888 |
Author: 高雪 |
Hits:
Description: 此程序为根据人脸特征点识别人脸程序，实现面部图像的配准，仅作为参考-This procedure is based on facial feature points of face recognition program, to achieve facial image registration, only as a reference
Platform: |
Size: 2048 |
Author: hourui |
Hits:
Description: 人脸表情识别，包括提取特征点与识别，文件中有说明-Facial expression recognition, including the extraction of feature points and recognition, the document is described
Platform: |
Size: 12602368 |
Author: ljm |
Hits:
Description: 获取目标颅骨特征点坐标，参考人脸特征点(采样点)，-Get skull feature point coordinates of the target, the reference facial feature points (sample points),
Platform: |
Size: 1024 |
Author: 朱成成 |
Hits:
Description: 研究优化人脸特征提取问题，针对长期以来在不贴标记点的情况下用传统的光流、Snake、可变模板等方法对纹理特征变化大的特征点不能有效跟踪，并且解决单独采用Gabor 小波系统开销大等问题，为了在人脸图像中提取准确信息，提出了人脸特征点的跟踪方法，分组采用改进的光流法和弹性图匹配的方法进行特征点跟踪。对眼睛、眉毛、上下眼皮等14 个表
情变化不大的特征点使用光流法进行跟踪，最后对变化大的嘴部8 个特征点运用Gabor 小波的弹性图匹配方法进行仿真。-Gabor wavelet research to optimize facial feature extraction problem for a long time in the case of stickers marked point changes of texture features with traditional optical flow, Snake, variable template feature points can not effectively track and solve alone overhead and large, in order to extract the accurate information in a face image, the facial feature point tracking method, grouping, improved optical flow method and elastic graph matching feature point tracking. Little change in the feature point of eyes, eyebrows, and eyelids 14 expression using the optical flow method for tracking simulation using Gabor wavelet elastic graph matching method, and finally on the changes of eight characteristic points of the mouth portion.
Platform: |
Size: 444416 |
Author: yaomeng |
Hits:
Description: 自己写的matlab GUI可根据说明运行，简单方便，代码注释详细；此GUI界面，可完成两种功能：一是人脸匹配，即给出一张人脸可找出在训练库最相近的人脸；二是人脸渐变，选择两张人脸，手工标记关键特征点，便可运行出从一张脸到另外一张脸的渐变过程，而且中间产生的图片会自动保存在文件夹中。自己写的操作步骤说明很详细，希望下载的同学会学到一些知识，有所收获-Write your own matlab GUI can be run according to the instructions, easy, code comments in detail this GUI interface, you can perform two functions: First, face matching, that gives a human face to find out the closest person training library face the second is the human face gradient, two faces, hand-labeled feature points, you can run one face to another face of a gradual process, and produce intermediate images will be automatically saved in a folder. Write your own steps described in great detail, I hope the students will learn to download some knowledge, be harvested
Platform: |
Size: 15808512 |
Author: 蔡珍妮 |
Hits: