robust face recognition
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 ...
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Robust Face Recognition Under Illumination Changes and Pose Variations
... images, face recognition is often a challenging and a complicated ...and robust face recognition ...the face (such as eyes, nose, and mouth), which are more informative in ...
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ROBUST FACE RECOGNITION FROM MULTI-VIEW VIDEOS
... the face; distance between the eyes, nose, mouth and jaw; upper outlines of the eye sockets; the sides of the mouth; location of the nose and eyes; and the area surrounding the check ...facial recognition ...
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Robust Face Recognition Utilizing Motion Blur, Illumination and Pose Variations
... the approved record and secret key to sign into the framework once they begin to utilize a work station. In any case, under this verification system, the machine can just perceive the client's personality from the login ...
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Multi View Based Robust Face Recognition Method
... video-based face acknowledgment in camera ...the face, we propose a novel component for strong face acknowledgment in the nearness of diffuse lighting and posture ...the face surface mapped ...
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A ROBUST FACE RECOGNITION ALGORITHM USING A TEMPLATE APPROACH
... The lalse positive training set consist of sarnples of individuals rvho are not in the database, and is used to tune the rejection capability of the systenl.. We first partition th[r] ...
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Robust Face Recognition Based on Convolutional Neural Network
... For Face Verification Protocol (1: 1), 13,233 face images of LFW database can generate positive sample pairs and negative sample pairs. Selecting 3,000 pairs from these positive pairs and 3,000 pairs from ...
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Robust Face Recognition Based on Covariance Matrix
... Then from 5 to 10 to change the value of k to carry on the experiment, the increasing of K value makes the experiment have more challenges. This is due to the larger value of k is meant to reduce the number of images in ...
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Integrating Illumination, Motion, and Shape Models for Robust Face Recognition in Video
... The major disadvantage of the 2D illumination methods is that they cannot handle local illumination conditions (lighting coming from some specific direction such that only part of the object is illuminated). In Figure ...
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Robust Face Recognition Using Largest Matching Area for Illumination and Occlusion
... on face recognition under pose/illumination/expression changes and image degradations, problems caused by occlusions attracted relatively less ...of face recognition systems in uncontrolled ...
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International Journal of Computer Science and Mobile Computing
... In this paper, we have presented a technique for designing fast, secure and robust face recognition system. Our applied technique reduces the time required to recognize an image from the database. ...
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Robust Video based Face Recognition
... a face recognition ...view face recognition has become an active research area in recent ...video-based face recognition in camera networks is ...the face explicitly. A ...
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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 ...
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Developing A Face Recognition System Using Convolutional Neural Network
... of face recognition by using Convolutional Neural Network (CNN) are already ...a face recognition system as the image preprocessing steps were implemented in MATLAB and CNN algorithm was in C ...
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Rotation Invariant Face Recognition using RLBP, LPQ and CONTOURLET Transform
... Face recognition methods typically confronts many real- world challenges, including the pose (out-of-plane rotation); the presence or absence of structural components like beards, mustaches, glasses; and ...
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International Journal of Computer Science and Mobile Computing
... keystrokes recognition can be done unobtrusively when the person is keying in ...keystroke recognition include: the cumulative typing speed, the time that elapses between consecutive keystrokes, the time ...
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Face Recognition in Real Time for Attendance Marking System
... Attendance marking system with the help of face recognition in real time is successfully developed in this research. The software developed is very promising and has a huge database capacity. These kinds of ...
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Color Based Face Recognition Using Template Based Approach
... entire face area as an input data for face identification ...human face, computer vision and image ...complete face and next aquired features are used to compare in face ...
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A Review of the Fingerprint, Speaker Recognition, Face Recognition and Iris Recognition Based Biometric Identification Technologies
... Fingerprint recognition or fingerprint authentication refers to the automated method of verifying a match between two human fingerprints. The fingerprint is scanned electronically and a reference template created ...
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Expression-robust 3D Face Recognition using Bending Invariant Correlative Features
... In this experiment, we make detailed comparisons with some existing methods for 3D face recognition to show the performance of the proposed algorithm. The considered features include surface curvature (SC) ...
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