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Classifiers for Face Detection using Moments

Face detection in images by transform classifiers

Face detection in images by transform classifiers

... for face detection based on transform ...other detection methods machine learning requires a large amount of training samples to acquire sufficient number of ...of face poses in real life. ...

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Parallelized Architecture of Multiple Classifiers for Face Detection

Parallelized Architecture of Multiple Classifiers for Face Detection

... multiple classifiers for face detection based on the Viola and Jones object detection ...Haar classifiers that indicate the presence of a ...of classifiers, and parallel ...

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Parallelized Architecture of Multiple Classifiers for Face Detection

Parallelized Architecture of Multiple Classifiers for Face Detection

... multiple classifiers for face detection based on the Viola and Jones object detection ...Haar classifiers that indicate the presence of a ...designed using a pipelined scheme, ...

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Mixtures of Boosted Classifiers for Frontal Face Detection

Mixtures of Boosted Classifiers for Frontal Face Detection

... new face detection system using a combination of several boosted classifiers which leads to high detection performances and can be applied in ...trained using local discrimi- ...

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Vanishing Moments of a Wavelet System and Feature Set in Face Detection Problem for Color Images

Vanishing Moments of a Wavelet System and Feature Set in Face Detection Problem for Color Images

... extracted using threshold and edge extraction method using wavelets belonging to different family with increasing vanishing moments, depending on the application, one should choose the wavelet ...

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Information theoretic combination of classifiers with application to face detection

Information theoretic combination of classifiers with application to face detection

... performances. Face detection is a typical problem for which combining classifiers can improve significantly the perfor- ...robust face model requires a huge number of training patterns, and, dealing ...

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Handling missing weak classifiers in boosted cascade: application to multiview and occluded face detection

Handling missing weak classifiers in boosted cascade: application to multiview and occluded face detection

... Pierre Bouges 1* , Thierry Chateau 1* , Christophe Blanc 1 and Gaëlle Loosli 2 Abstract We propose a generic framework to handle missing weak classifiers at testing stage in a boosted cascade. The main ...

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Neural Network For Face Recognition Using Different Classifiers

Neural Network For Face Recognition Using Different Classifiers

... for Face Detection and Recognition by Neural Network for Face Recognition using different ...human Face recognition being regarded as a fundamental technology of biometrics has been ...

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Face   Recognition In  Lightening Conditions Using Different Classifiers

Face Recognition In Lightening Conditions Using Different Classifiers

... Human face detection and recognition has most influential area of image processing and ...on face recognition ...precise face recognition system and recognizes the identity of a person with ...

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FACE DETECTION AND IDENTIFICATION USING SVM

FACE DETECTION AND IDENTIFICATION USING SVM

... model using a sigmoid kernel function is equivalent to a two-layer, perceptron neural ...networks. Using a kernel function, SVM’s are an alternative training method for polynomial, radial basis function and ...

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Face Detection and Tracking using OpenCV

Face Detection and Tracking using OpenCV

... the detection speed needs to be improved, because it requires test all possible windows by exhaustive search and has high computational ...weak classifiers, and cascades them into a strong classifier for ...

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Boosting Pixel-based Classifiers for Face Verification

Boosting Pixel-based Classifiers for Face Verification

... of face authentication systems has steadily improved over the last few ...gray-scale face image into a Linear Discriminant subspace as input of a classifier such as Support Vector Machines or Multi-layer ...

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Ensemble of texture descriptors and classifiers for face recognition

Ensemble of texture descriptors and classifiers for face recognition

... notable face recognition techniques devel- oped the last five decades [3] include Principal Component Analysis, Elastic Template Matching, Discriminant Analysis, Local Binary Patterns (LBPs), Algebraic ...

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Faces and eyes Detection in Digital Images Using Cascade Classifiers

Faces and eyes Detection in Digital Images Using Cascade Classifiers

... Keywords: Face Detect, Integral Image, Haar-like Features, ...human face detection is an image processing and computer vision technique to determine the existence or otherwise of faces in a ...

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Real Time Smile Detection using Haar Classifiers on SoC

Real Time Smile Detection using Haar Classifiers on SoC

... Smile detection in real time video is an interesting problem with many potential ...smile detection from video using Haar Classifiers through Raspberry Pi BCM2835 processor which is a ...

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Detection of uveal melanoma using fuzzy and neural networks classifiers

Detection of uveal melanoma using fuzzy and neural networks classifiers

... well-known moments within which we can include geometric moments [23], Zernike moments [24], rotational moments [25], and complex moments ...

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Title: Face Detection Using Skin Colour Model and Face Recognition Using ANN

Title: Face Detection Using Skin Colour Model and Face Recognition Using ANN

... Zernike Moments(PZMs)in Face ...for face recognition. In this method, pseudo Zernike moments are performed before the application of Fisher’s Linear Discriminant to achieve a stable numerical ...

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Face Detection and Recognition Using Recorded Video’s

Face Detection and Recognition Using Recorded Video’s

... video face detection by manipulating the machine and image ...complex classifiers in a “cascade” which allows background regions of the image to be quickly discarded while spending more computation ...

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Face Recognition Using Fuzzy Moments Discriminant Analysis

Face Recognition Using Fuzzy Moments Discriminant Analysis

... holistic face recognition approach of gray intensity still image, namely Fuzzy Moment Discriminant Analysis is ...Pseudo-Zernike Moments to extract dominant and significant features for each image of ...

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Facial recognition from DNA using face-to-DNA classifiers

Facial recognition from DNA using face-to-DNA classifiers

... Future investigations involve: First, in the GLOBAL cohort, we are limited by the ancestry variation captured by our refer- ence data (HapMap 3 Project 10 ). Therefore, it is of interest to explore other datasets as a ...

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