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face recognition

Learning discriminative features for face recognition

Learning discriminative features for face recognition

... We have proposed two methods that uses training data to create discriminative LBP- like descriptors. The first, based on decision trees, achieves superior accuracy compared to LBP and other LBP-like approaches, but at a ...

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Face recognition using adaptive dictionaries and sparse fingerprint classification algorithm

Face recognition using adaptive dictionaries and sparse fingerprint classification algorithm

... Face recognition has been a very active area of research in computer vision, making many important contributions since the ...of face recog- nition research has shifted to dealing with unconstrained ...

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Face recognition and De-Identification in the frequency domain

Face recognition and De-Identification in the frequency domain

... to face recognition appears in 1991 developed by Turk and Pentland and the technique is known as Eigenfaces or Karhunen-Loeve (KL) transform ...for face recognition, but also it is the current ...

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Do we need an open face recognition search engine?

Do we need an open face recognition search engine?

... automatic face recognition on your application form photo revealed it in the collection of pictures uploaded by some user of the same SN you were applying ...from face identification, the recruiters ...

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Face recognition for automatic vehicle ignition based on Raspberry Pi

Face recognition for automatic vehicle ignition based on Raspberry Pi

... facial recognition application for automatic vehicle ignition is ...out, face detection, data gathe- ring, and training the system to grant access through face ...

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A combination of spatiotemporal ica and euclidean features for face recognition

A combination of spatiotemporal ica and euclidean features for face recognition

... Face recognition is one of the most successful applications of image processing and analysis, and it has become one of the major topics in the research areas of machine vision and pattern recognition ...

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Face recognition using SIFT descriptors and binary PSO with velocity control

Face recognition using SIFT descriptors and binary PSO with velocity control

... Abstract. In this paper, a strategy for face recognition based on SIFT descriptors of the images involved is presented. In order to reduce the number of false positives and computation time, a selection of ...

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Métodos de reconocimiento de rostros 3D basados en correspondencia de superficies faciales3D face recognition methods based on matching on facial surfaces

Métodos de reconocimiento de rostros 3D basados en correspondencia de superficies faciales3D face recognition methods based on matching on facial surfaces

... Face recognition is an important problem that has maintained its relevance in Pattern Recognition in recent years due to its wide range of applications such as access control, surveillance, ...

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Parallelizing algorithms in ada on clementina II . Face recognition system

Parallelizing algorithms in ada on clementina II . Face recognition system

... In the Laboratory of Research and Development on Computer Science of the National University of La Plata, a face recognition system has been developed. This article describes a series of testings based on ...

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Multitask learning : An application to incremental face recognition

Multitask learning : An application to incremental face recognition

... to face recognition, being the seminal paper in this field the one proposing the “eigenfaces” approach, by Turk and Pentland (Turk and Pentland, 1991), that uses Principal Component Analysis (PCA) to find ...

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A FACE RECOGNITION ALGORITHM BASED ON CONVOLUTIONAL NEURAL NETWORK

A FACE RECOGNITION ALGORITHM BASED ON CONVOLUTIONAL NEURAL NETWORK

... of face recognition in biometrics (Phillips, Moon, Rizvi et ...2000). Face recognition is intuitive and simple for identity authentication by comparing facial features (Zhang & Xie, 2012), ...

7

Depth-based face recognition using local quantized patterns adapted for range data

Depth-based face recognition using local quantized patterns adapted for range data

... The first one is the design of a novel descriptor called Depth Local Quantized Pattern descriptor (DLQP) that makes use of the extended range resolution of the Kinect 2.. This descrip[r] ...

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Reconocimiento confiable de rostros bajo condiciones del mundo realReliable face recognition under real world conditions

Reconocimiento confiable de rostros bajo condiciones del mundo realReliable face recognition under real world conditions

... Es decir, se pueden incluir subconjuntos del conjunto de entrenamiento distorsionado en el diseño de un banco de filtros de una clase, de manera que se tomen en cuenta[r] ...

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Advanced face and gesture recognition for visual HMI

Advanced face and gesture recognition for visual HMI

... gesture recognition, this thesis has proposed dierent algorithms that target specic objectives: recognition of static gestures and recognition of both static and dynamic ...gesture recognition ...

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Sports Video Anonymisation and Accuracy Prediction

Sports Video Anonymisation and Accuracy Prediction

... The face recognition libraries used have particular limi- tations, including difficulty with identifying faces obstructed with arms or head-wear such as hats and sunglasses or poor performance with ...

5

1992 Lopera, F , & Ardila, A  Prosopamnesia and visuolimbic disconnection syndrome

1992 Lopera, F , & Ardila, A Prosopamnesia and visuolimbic disconnection syndrome

... Associated with this deficit in face recognition, the patient presented visual hypoemotionality (hyporeactivity to visual stimuli) and transient gustatory amnesia.. Some topographic amne[r] ...

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Modelo para optimizar la detección de rostros en secuencias de video

Modelo para optimizar la detección de rostros en secuencias de video

... systems face recognition with a focus on video-security cameras institutions, in order to perform real-time processing, taking into account the current problems of poor and very poor resolution obscures ...

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Measuring external face appearance for face classification

Measuring external face appearance for face classification

... Traditionally, face recognition algorithms have used only the internal information of face images for classification purposes since these features can be easily ...the face classification ...

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Dealing with inaccurate face detection for automatic gender recognition with partially occluded faces

Dealing with inaccurate face detection for automatic gender recognition with partially occluded faces

... the face recognition task [2], a description based on Local Contrast Histograms (LCH) which can be used independently or together with the LBP [7] and the features proposed by the authors that ...

8

Adaptive Pointing Theory (APT) Artificial Neural Network

Adaptive Pointing Theory (APT) Artificial Neural Network

... The experi- mental results have proved that the performance of the face recognition system using blood perfusion data is signi¯cantly better than the temperature data.. Bhowmik et al.[r] ...

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