搜索资源列表
svm_face_recognition
- 一篇很不错的关于人脸表情识别的论文。论文提出了一种基于人脸局部特征的表情识别方法，先选取人脸重要的局部特征,对得到的局部特征进行主成分分析,然后用支持向量机( SVM)设计局部特征分类器来确定测试表情图像中局部特征,同时设计支持向量机( SVM)表情分类器,确定表情图像的所属类别。-A very good facial expression recognition on paper. This paper proposes a feature based on local expression
face
- 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.
KPCAandSVM
- KPCA与SVM共同用于人脸识别 SVM提高了分类效果 KPCA是一种借鉴SVM中核函数的一种较好的特征提取方法-KPCA and SVM for face recognition SVM together to improve the classification results from KPCA is a kernel function in SVM a better feature extraction method
face_detection_paper
- 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 det
Recognition
- 人脸识别是生物特征识别技术中一个非常活跃的课题,取得了很多研究成果。统计主元分析法( Prin2cipal ComponentsAnalysis, PCA)是人脸特征提取和识别的常用方法之一。-Face recognition is an active subject in the area of biometrical recognition technology, and lots of achievements have been obtained. Principal Compone
KernelBasedObjectTracking
- A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects, is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel.
MoAT7.1
- This paper identifies a novel feature space to address the problem of human face recognition from still images. This based on the PCA space of the features extracted by a new multiresolution analysis tool called Fast Discrete Curvelet Transfo
Head_Rotation_Estimation_Algorithm_for_Hand-Free_C
- Head Rotation Estimation Algorithm for Hand-Free Computer Interaction by Rafał Kozik-In the article robust method of hands-free interaction with computer is proposed and tested. There are showed the results of algorithms based on optical flow and
Feature-based_face_detection_system
- 基于特征的人脸检测系统的设计与实现,是用opencv的haartraining库-Feature-based face detection system design and implementation, is to use opencv library in haartraining
2Dto3D
- 本文提出的基于稀疏线性模型的优化算法能够相对准确、稳定地估计出二维特征点的深度信息。将深度估计值应用于形变算法，可以提高人脸的重建精度。-The proposed model based on sparse linear optimization algorithm is relatively accurate and stable two-dimensional feature points to estimate the depth of information. Estimate the
A-Feature-Based-Approach-to-Face-Recognition
- Feature extraction for face recognition
Combining-face-detection-and-people-tracking-in-v
- Face detection algorithms are widely used in computer vision as they provide fast and reliable results depending on the application domain. A multi view approach is here presented to detect frontal and profile pose of people face using Histogram of
Face-Feature-Tracking
- 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,
face-cvpr12
- 野外 人脸特征点定位和姿态估计 matlab 对应的 文章 源码已上传 希望 有兴趣的朋友可以共同 研究 和 探讨 配置到unix环境下-Wild facial feature points positioning and pose estimation matlab corresponding article hope interest friends can work together to study and explore
fusion-feature-face-recognition
- 图像重构的人脸识别、多特征融合的人脸识别、独立特征融合的人脸识别方法 -Image reconstruction for face recognition, face recognition, multi-feature fusion independent feature fusion approach for face recognition
DCT
- 提出了一种基于DCT提取人脸特征技术和支持向量机分类模型的人脸识别方法。利用离 散余弦变换可提取人脸可识别的大部分信息,而支持向量机作为分类器,在处理小样本、高维数等 方面具有独特的优势,且泛化能力很强,无需先验知识。从ORL 人脸库上的实验结果可以看出, DCT特征提取是很有效的,且SVM的分类性能优于最近邻分类器,同时提高了整个系统的运算速 度。-A face recognition method based on DCT for face feature extractio
matlab--skin
- matlab基于肤色的人脸特征提取，rgb转换到ycrcb空间-based on skin color segmentation matlab face feature extraction, rgb color space conversion to Ycrcb
Face-recognition-
- 人脸的研究是跨越人文科学与自然科学的新兴交叉研究领域，在最近几年得到了模式识别领域众多学者的重视，也取得了良好的研究成果。针对人脸这种生物特征的识别，在其过程中最为重要的一个环节是特征的提取，更好的提取出人脸的特征，将会使得识别更有有效和准确，提高分类的同时，也是的识别率有良好的提高。-Face recognition research is a new cross field across the humanities and natural science, had many scholar
Enhanced-Local-Texture-Feature-Sets-for-Face-2355
- Enhanced Local Texture Feature Sets for Face
Eigenfaces
- eigenfaces algorithm can be deflected in the case of face feature point location to achieve a better.