Description: 基于面部动画参数抽取的特征跟踪,做模式识别方面的比较适合-Based on the facial animation parameter extraction of feature tracking, and more suitable for pattern recognition aspects Platform: |
Size: 154624 |
Author:111 |
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Description: 一个视频驱动的人脸动画原型系统，详细介绍了构造该系统所涉及的人脸检测、特征提取、特征跟踪、特定人脸建模、表情动画等方面的技术。-A video-driven facial animation prototype system, detailing the structure of the system involved in face detection, feature extraction, feature tracking, specific face modeling, facial animation, such as technical. Platform: |
Size: 5458944 |
Author:qiuyao |
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Description: 两篇人脸检测的英文论文，是花钱买的哦，英文描述中是一篇文章的英文摘要！-Face and facial feature detection plays an important role in various applications such as human computer interaction, video surveillance,
face tracking, and face recognition. Efficient face and facial feature detection algorithms are required for applying to those tasks.
This paper presents the algorithms for all types of face images in the presence of several image conditions. There are two main stages. In
the first stage, the faces are detected from an original image by using Canny edge detection and our proposed average face templates.
Second, a proposed neural visual model (NVM) is used to recognize all possibilities of facial feature positions. Input parameters are
obtained from the positions of facial features and the face characteristics that are low sensitive to intensity change. Finally, to improve
the results, image dilation is applied for removing some irrelevant regions. Additionally, the algorithms can be extended to rotational
invariance problem by using Radon tran Platform: |
Size: 3771392 |
Author:刘宋 |
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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: 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). Platform: |
Size: 1024 |
Author:周参 |
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Description: 一种基于肤色与LBP特征融合的人脸跟踪算法LBP based on skin color and facial feature tracking algorithm fusion-LBP based on skin color and facial feature tracking algorithm fusion Platform: |
Size: 542720 |
Author:what1586 |
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Description: The face can communicate varied personal information
including subjective emotion, communicative intent, and
cognitive appraisal. Accurate interpretation by observer or
computer interface depends on attention to dynamic properties
of the expression, context, and knowledge of what
is normative for a given individual. In two separate studies,
we investigated individual differences in the base rate
of positive facial expression and in specific facial action
units over intervals from 4- to 12 months. Facial expression
was measured using convergent measures, including facial
EMG, automatic feature-point tracking, and manual FACS
coding. Platform: |
Size: 61440 |
Author:payal |
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Description: 自动人脸识别系统具有如图所示的一半框架并完成相应功能的任务。
（1）人脸图像的获取：一般来说，图像的获取都是通过摄像头摄取，氮摄取的图像可以是真人，也可以是人脸的图片或者为了相对简单，可以不考虑通过摄像头来摄取头像，而是直接给定要识别的图像。
（2）人脸的检测：人脸检测的任务是判断静态图像中是否存在人脸。若存在人脸，给出其在图像中的坐标位置，人脸区域大小等信息。而人脸跟踪需要进一步输出所检测到的人脸位置，大小等状态随时间的连续变化情况。
（3）特征提取通过人脸特征点的检测与标定可以确定人脸图像中显著特征点的位置（如眼睛，眉毛，鼻子，嘴巴等器官），同时还可以得到这些器官及其面部轮廓的形状信息的描述。-Automatic face recognition system has half of the framework as shown in the task and complete the corresponding function. (A) face image acquisition: In general, the image acquisition camera intake, nitrogen uptake of the image is real, is the picture of the face or to relatively simple, can not be considered through the camera head intake of the head, but given directly to the image you want to identify. (2) the detection of human faces: the face detection task is to determine whether there is a face in the static image. If there is a face, given the coordinates of the location in the image, the size of the face region. The face tracking needs further output the detected position of the face, size, state of continuous change over time. (3) feature extraction of facial feature points detection and image calibration can determine people face significant feature points (such as eyes, eyebrows, nose, mouth and other organs), but also can get the shape of these organs and their facial cont Platform: |
Size: 12288 |
Author:蔡周杰 |
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Description: 提出一种人脸特征点跟踪方法。首先, 运用ASM 获取人脸的特征点, 然后在选用Lucas Kanade光流算法的基础
上, 将初始帧和当前帧的前一帧有机结合起来, 共同作为当前帧的参考来进行特征点跟踪。实验结果表明该方法对特征
点的跟踪有很好的效果。-Proposed a facial feature point tracking method. First, the use of the ASM obtaining human face feature point, and then in the selection of the the Lucas Kanade optical flow algorithm, based on, the initial frame and the current frame before a combine, as the current frame of reference common feature point tracking . Experimental results show that the method has a good effect on the tracking of the feature point. Platform: |
Size: 231424 |
Author:yaomeng |
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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 |
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Description: edited the face tracking example using klt to use my facial feature points
The original inbuilt example that comes with matlab can edited usin Platform: |
Size: 4096 |
Author:md adil |
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Search - facial feature tracking