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IntelligentSaver2
- It is a utility to control screen saver using human face detection. Human face detection is performed using OpenCV Haar-Cascade method. The software is primarily a daemon that resides in your system tray and keeps observing the input from a webcam to
Intelligent_Screen_Saver
- It is a utility to control screen saver using human face detection. Human face detection is performed using OpenCV Haar-Cascade method. The software is primarily a daemon that resides in your system tray and keeps observing the input from a webcam to
FaceRecognitionSystem.rar
- matlab source code eigen face for face recognition,can detect pose and expression,matlab source code eigen face for face recognition,can detect pose and expression
FaceDetection_Based_on_a_New_Nonlinear_Color_Space
- 提出一种新的非线性变换的彩色空间 ″″, 利用次高斯概率分布函数拟合皮肤色度信息, 得到候选区 YC C r b 域。为了排除候选区域中的非人脸, 首先根据均值和方差信息分割出候选区域中的纹理特征信息, 再通过多尺度 ) ( 信息定位眼睛, 然后根据人脸特征的几 形态边缘检测算子检测候选区域的边缘, 利用 边缘方向 PCA PCAED ( ) 何形状信息定位其他特征 鼻、嘴 , 通过这些几何特征信息对肤色分割得到的候选区域进行验证, 最终得到正确 的人
multiposeface
- 多姿态人脸数据库，可用于非理想条件下人脸识别中的姿态估计问题，包括63种不同姿态，人脸水平方向旋转角度从-60度到60度，角度间隔15度，竖直方向旋转角度为-60度，-30度，-15度，0度，15度，30度，60度。-face database including 63 different poses，can be used in pose estimation of face recognition under unsatisfied condition.
congealReal.1.0
- 国外的一个做人脸直线化的代码，能够对人脸和汽车图片进行直线化。-Many recognition algorithms depend on careful positioning of an object into a canonical pose, so the position of features relative to a fixed coordinate system can be examined. Generally, this positioning is done eithe
llr
- 基于LLR算法的多姿态人脸识别，是对以往的改进版本-LLR-based Multi-pose face recognition algorithm is an improved version of previous
multi-face-pose
- 该人脸库包含30个人、每人10幅总共300幅光栅图像，每个人的10幅图像包括了朝正前方、朝左、朝右、朝上和朝下五种不同的视角 方向的情形，经典的多姿态人脸库 注意此文件为.ras格式，需要用ACDSEE打开，SUN光栅图片格式。-The face database contains 30 individuals, each 10 Total 300 raster images, 10 images of each person included toward the front, lef
Adaboost
- 基于Adaboost算法的多姿态人脸实时视频检测江苏大学-Adaboost algorithm based on multi-pose face detection real-time video
Complex-environments-face-detection
- 提出了一种针对复杂环境下的过人脸检测方法，首先在CbCgCr空间利用直接最小二乘法构建了对光照和复杂背景鲁棒性更好肤色聚类模型，实现了准确的肤色检测；然后针对人脸中姿态和表情变化，提出了基于Adaboost的多姿态人脸检测，精确的实现了人脸检测定位。-Extraordinary face detection method for complex environments, the first space CbCgCr direct least squares meth
1
- 一种处理多姿态人脸识别的多候选类加权识别方法-Weighted identification method for a treatment of multi-candidate class of multi-pose face recognition
Face-Pose-Adjustment
- 这是基于眼睛定位的人脸位置矫正算法，他对于学习人脸位置矫正有很好的借鉴价值。-This is based on eye location face position correction algorithm for learning face position he has a very good reference value correction.
Real-Time-Head-Pose-Estimation-from
- 随机森林法估计人脸姿态。我们提出用于估计位置和一个人的头部的方向，从由一个低质量的设备获取的深度数据的系统。-Random Forest method to estimate the face pose,。We present a system for estimating location and orientation of a person s head, from depth data acquired by a low quality device.
FaceRecognitionBased-OnDeepLearning
- 本文运用深度神经网络的方法克服姿态变量和图像分辨率的影响,提出了一种多姿态的人脸超分辨识别算法并在实验数据集上获得了良好的性能表现。另外本文利用深度信念网络探索正面人脸图像和侧面人脸图像的映射,方法放松了深度信念网络的输入也输出之间绝对相等,而只是保证其高层含义上的相等。实验表明了使用深度信念网络可以学习到侧面人脸图像到正面人脸图像的一个全局映射,但是丢失了个体细节差异。本文还提出了基于深度网络保持姿态邻域进行姿态分类的方法,在学习过程中,我们保证了同一个姿态下的人脸图像应该与同一姿态下的多张图
Face-Recognition-Using-Markov
- 最新基于马尔可夫方法的多变姿态人脸检测论文IEEE检索，是学习人脸检测的研究人员不可多得的好材料-IEEE retrieval method based on Markov latest changeable pose face detection papers, learning researchers face detection rare good material
Using-Stereo-Matching-for-2-D-Face-Recognition-Ac
- Using Stereo Matching for 2-D Face Recognition Across Pose
face-pose-angle-determined
- 对人脸图像进行检测，然后根据灰度信息定位出眼睛、嘴巴的位置，并根据这三个位置计算人脸偏转的角度-Face image detection, and then locate the information in accordance with the gray eyes, mouth position and face deflection angle is calculated based on these three locations
Face-Recognition
- 非匀速运动模糊光照和姿态人脸识别，英文文献-Face Recognition Across Non-Uniform Motion Blur, Illumination, and Pose
High-Fidelity_Pose__paper
- This paper is untitled High-Fidelity Pose and Expression Normalization for Face Recognition in the Wild
openface-master
- toolbox for facial landmark detection, head pose estimation, facial action unit recognition, eye-gaze estimation