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Open AccessJournal ArticleDOI

An Accurate Facial Component Detection Using Gabor Filter

K. Sudhakar, +1 more
- 01 Sep 2017 - 
- Vol. 6, Iss: 3, pp 287-294
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TLDR
The proposed system performs the face detection and facial components using Gabor filter and the results show accurate detection of facial components.
Abstract
Face detection is a critical task to be resolved in a variety of applications. Since faces include various expressions it becomes a difficult task to detect the exact output. Face detection not only play a main role in personal identification but also in various fields which includes but not limited to image processing, pattern recognition, graphics and other application areas. The proposed system performs the face detection and facial components using Gabor filter. The results show accurate detection of facial components

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Citations
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Journal ArticleDOI

Facial Component-Landmark Detection With Weakly-Supervised LR-CNN

TL;DR: Extensive evaluations on benchmark datasets indicate that the proposed LR-CNN framework is able to complete the multi-task facial detection and outperforms the state-of-the-art facial component and landmark detection algorithms.
Proceedings ArticleDOI

Geometric Facial Components Feature Extraction for Facial Expression Recognition

TL;DR: A novel geometric feature extraction method which apply simple calculation techniques for facial components to ensure the robustness for each variation of pose and efficiently works directly on pixels basis is proposed.
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Eulerian video magnification: a review

TL;DR: A comprehensive study of Eulerian video magnification methods is presented and the strengths and drawbacks of existing works are discussed, and the important research fields and challenges in the area of EVM are concluded.
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Detection of Prostate Cancer Using Radial/Axial Scanning of 2D Trans-rectal Ultrasound Images

TL;DR: A fast algorithm based on radial/axial scanning of the pixels of the prostate gland image with the goal of detecting hyper-echoic pixels that are bound within the boundaries of the gland TRUS 2D-images that indicate suspected cancerous tissue cites is developed.
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An optimization of facial feature point detection program by using several types of convolutional neural network

TL;DR: The improvement of the detection accuracy of the learning speed is improved by increasing the convolution layer.
References
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Journal ArticleDOI

Robust Real-Time Face Detection

TL;DR: In this paper, a face detection framework that is capable of processing images extremely rapidly while achieving high detection rates is described. But the detection performance is limited to 15 frames per second.
Journal ArticleDOI

The FERET evaluation methodology for face-recognition algorithms

TL;DR: Two of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems.
Journal ArticleDOI

Neural network-based face detection

TL;DR: A neural network-based upright frontal face detection system that arbitrates between multiple networks to improve performance over a single network, and a straightforward procedure for aligning positive face examples for training.
Journal ArticleDOI

The FERET database and evaluation procedure for face-recognition algorithms

TL;DR: The FERET evaluation procedure is an independently administered test of face-recognition algorithms to allow a direct comparison between different algorithms and to assess the state of the art in face recognition.
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