Search engine for discovering works of Art, research articles, and books related to Art and Culture
Javascript must be enabled to continue!
Face Detection and Recognition Method Based on Improved Convolutional Neural Network
View through CrossRef
with rapid development of deep learning technology, face recognition based on deep convolutional neural network becomes one of the main research methods. In order to solve the problems of information loss and equal treatment of each element in the input feature graph in the traditional pooling method of convolutional neural network, a face recognition algorithm based on convolutional neural network is proposed in this paper. First, MTCNN algorithm is used to detect the faces and do gray processing, and then a local weighted average pooling method based on local concern strategy is designed and a convolutional neural network based on VGG16 to recognize faces is constructed which is finally compared with common convolutional neural network. The experimental results show that this method has good face recognition accuracy in common face databases.
North Atlantic University Union (NAUN)
Title: Face Detection and Recognition Method Based on Improved Convolutional Neural Network
Description:
with rapid development of deep learning technology, face recognition based on deep convolutional neural network becomes one of the main research methods.
In order to solve the problems of information loss and equal treatment of each element in the input feature graph in the traditional pooling method of convolutional neural network, a face recognition algorithm based on convolutional neural network is proposed in this paper.
First, MTCNN algorithm is used to detect the faces and do gray processing, and then a local weighted average pooling method based on local concern strategy is designed and a convolutional neural network based on VGG16 to recognize faces is constructed which is finally compared with common convolutional neural network.
The experimental results show that this method has good face recognition accuracy in common face databases.
Related Results
Depth-aware salient object segmentation
Depth-aware salient object segmentation
Object segmentation is an important task which is widely employed in many computer vision applications such as object detection, tracking, recognition, and ret...
Critical information thresholds underlying concurrent face recognition functions
Critical information thresholds underlying concurrent face recognition functions
Abstract
Humans rapidly and automatically recognise faces on multiple different levels, yet little is known about how the brain achieves these ma...
Increased life expectancy of heart failure patients in a rural center by a multidisciplinary program
Increased life expectancy of heart failure patients in a rural center by a multidisciplinary program
Abstract
Funding Acknowledgements
Type of funding sources: None.
INTRODUCTION Patients with heart failure (HF)...
Video Indexing through Human Faces by Combined Deep Learning Neural Networks
Video Indexing through Human Faces by Combined Deep Learning Neural Networks
This research aims to suggest an algorithm that uses the human face as a cue for detecting faces and recognition from input video. Face recognition has become popular because it ha...
Implementasi Algoritma Haar Cascade pada Aplikasi Pengenalan Wajah
Implementasi Algoritma Haar Cascade pada Aplikasi Pengenalan Wajah
The large number of citizens in an organization makes the development of an attendance system or citizen detection in a place important in the running of work activities in the org...
Face Recognition based on Convolutional Neural Network
Face Recognition based on Convolutional Neural Network
Recognition holds great significance to give biometric authentications that are utilized in various applications particularly in attendance and security. A gathered database of the...
Penerapan Metode Convolutional Neural Network untuk Diagnosa Penyakit Alzheimer
Penerapan Metode Convolutional Neural Network untuk Diagnosa Penyakit Alzheimer
Abstract— Alzheimer's disease is a neurodegenerative disease that develops gradually, and is associated with cardiovascular and cerebrovascular problems. Alzheimer's is a serious d...
Research on SAR Image Target Recognition Based on Convolutional Neural Network
Research on SAR Image Target Recognition Based on Convolutional Neural Network
Abstract
A synthetic aperture radar (SAR) automatic target recognition can effectively improve the utilization efficiency of SAR image data. In order to improve the ...