Facial Expression Recognition Using 3D Convolutional Neural Network

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

EMG-based wrist gesture recognition using a convolutional neural network

Background: Deep learning has revolutionized artificial intelligence and has transformed many fields. It allows processing high-dimensional data (such as signals or images) without the need for feature engineering. The aim of this research is to develop a deep learning-based system to decode motor intent from electromyogram (EMG) signals. Methods: A myoelectric system based on convolutional ne...

متن کامل

Convolutional Neural Networks for Facial Expression Recognition

We have developed convolutional neural networks (CNN) for a facial expression recognition task. The goal is to classify each facial image into one of the seven facial emotion categories considered in this study. We trained CNN models with different depth using gray-scale images. We developed our models in Torch [2] and exploited Graphics Processing Unit (GPU) computation in order to expedite th...

متن کامل

NIRExpNet: Three-Stream 3D Convolutional Neural Network for Near Infrared Facial Expression Recognition

Facial expression recognition (FER) under active near-infrared (NIR) illumination has the advantages of illumination invariance. In this paper, we propose a three-stream 3D convolutional neural network, named as NIRExpNet for NIR FER. The 3D structure of NIRExpNet makes it possible to extract automatically, not just spatial features, but also, temporal features. The design of multiple streams o...

متن کامل

Facial Expression Recognition using Neural Network

This approach proposed a system for the recognition of the facial expression, which can be using cross-correlation of optical flow and mathematical models from the facial points. That defined these facial points of interest in the first frame of an input face sequence image, which utilized manually marker. The facial points were automatically tracked by using a cross-correlation based on optica...

متن کامل

Facial Expression Recognition Using a Neural Network

We discuss the development of a neural network for facial expression recognition. It aims at recognizing and interpreting facial expressions in terms of signaled emotions and level of expressiveness. We use the backpropagation algorithm to train the system to differentiate between facial expressions. We show how the network generalizes to new faces and we analyze the results. In our approach, w...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: International Journal of Advanced Computer Science and Applications

سال: 2014

ISSN: 2156-5570,2158-107X

DOI: 10.14569/ijacsa.2014.051215