[PDF] Top 20 Robust Face Recognition Based on Covariance Matrix
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Robust Face Recognition Based on Covariance Matrix
... of face recognition based on depth image sets, we propose that multiple Kinect images is being as a set of images, and depth data captured is used to automatically estimate poses and crop face ... See full document
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A Codebook Design Method for Robust VQ Based Face Recognition Algorithm
... solving face recognition problem. Based on the use of the Kar- hunen-Loeve transform, PCA [2] is used to represent a face in terms of an optimal coordinate system which contains the most ... See full document
6
A Novel Approach for Face Recognition using Dual Cross Grouping Patterns and Neural Network
... Face recognition is one of biometric methods, to identify given face image using main features of ...neural based algorithm is presented, to detect frontal views of ...of face image is ... See full document
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Rotation Invariant Face Recognition using RLBP, LPQ and CONTOURLET Transform
... [4] Jeffrey R. Paone, Patrick J. Flynn, P. Jonathon Philips, Kevin W. Bowyer, Richard W. VorderBruegge, Patrick J. Grother,George W. Quinn, Matthew T. Pruitt, and Jason M. Grant,” Double Trouble: Differentiating ... See full document
6
Comparative Study of Diverse Face Recognition Approaches along with Intrinsic Worth and Recognition Rate
... the covariance matrix corresponding to the largest ...The recognition rate of PCA-based face recognition outperforms when the number of test images increases, but the rate of ... See full document
6
Face Recognition using Laplacianfaces
... Various techniques are present for the face recognition. The reliable technique among present techniques is appearance-based technique. In appearance based technique, “MATRIX” is ... See full document
5
Implementation of Face Recognition System Using Convolutional Neural Networks for Automated Door Access Using Raspberry Pi
... via face recognition system using convolutional neural networks in raspberry pi has been successfully ...system.The face recognition system based on convolutional neural networks was ... See full document
7
Video Surveillance System for Height Detection by Adaptive Background Modelling Algorithm and Face Recognition by Eigen Face Algorithm
... and face-recognition system together Criminal detection can be very ...identity based on records and suggest an algorithmic approach to revealing proper ...for face recognition purpose ... See full document
7
Beamforming for Direction of Arrival (DOA) Estimation A Survey
... The proposed robust adaptive beamformers are based on explicit modeling of uncertainties in the desired signal array response and data covariance matrix as well as worst-case performance[r] ... See full document
8
Robust estimation of biometric data
... a robust estimator ˆ C to apply on biometric data analysis involving facial ...the covariance matrix of a multivariate Gaussian distribution by seperately estimating the matrix ...sample ... See full document
11
Face Recognition Based On Gradient Integrated Texton Matrix
... issues in recognizing textons in a 2 x 2 grid as in the case of MTH. The ITM has defined 9 texons instead of five in the case of TCM and four in the case of MTH and that’s why the proposed GITM is more robust and ... See full document
10
ROBUST FACE RECOGNITION FROM MULTI-VIEW VIDEOS
... The recognition of the persons from videos has numerous applications in Video Surveillances and Computer ...Vision. Face detection in still images is applied in many of the devices and in many of the ... See full document
6
Robust learning from normals for 3D face recognition
... for robust face recognition from facial ...3D face reconstruction from synthetically occluded samples, as well as, in face recognition using the FRGC v2 3D face database ... See full document
10
The Complete Gabor-Fisher Classifier for Robust Face Recognition
... novel face recognition technique called Complete Gabor Fisher Classifier ...Gabor face representation, the proposed approach does not rely solely on Gabor magnitude information but effectively uses ... See full document
26
Finger Vein Recognition with Gray Level Co-Occurrence Matrix based on Discreet Wavelet Transform
... system based on finger veins. Biometrics based on veins, ...Retina, face and hands can be identified using vascular properties too, however, the hardware devices used for finger vein identification ... See full document
5
An Application of a Parallel Algorithm on an Image Recognition
... candidate face images. The eigen face is produced from difference vectors between an average face image and each candidate face ...the covariance matrix. Since a set of ... See full document
6
Adaboost Face Detection Based on Improved Covariance Feature
... size matrix region as shown in Figure ...12650 covariance matrix features are extracted if we don’t consider the positional ...a face classifier is combined by the weak ...the ... See full document
6
Face Recognition via Robust Auxiliary Dictionary Learning
... a face. Feature-based approaches have smaller memory requirement and a higher recognition speed than template- based ones ...for face scale normalization and 3D head model- based ... See full document
26
Adjacency Matrix based Face Recognition Approach
... (LEM) based approach proposes a line matching technique to make this task ...the face images are firstly converted into gray-level ...a face line edge map; it can be noticed that it keeps face ... See full document
7
Robust Face Recognition Based on Convolutional Neural Network
... different face image size, angle changes, illumination and so forth, we introduce face image alignment and data enhancement preprocessing before ...the face image features may be highlighted or ... See full document
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