An Efficient Facial Expression Recognition System Using Novel Image Classification by Comparing CNN over Res Net
نویسندگان
چکیده
منابع مشابه
Facial Expression Recognition Using a Hybrid CNN-SIFT Aggregator
Recognizing facial expression has remained a challenging task in computer vision. Deriving an effective facial expression recognition is an important step for successful human-computer interaction systems. This paper describes a novel approach towards facial expression recognition task. It is motivated by the success of Convolutional Neural Networks (CNN) on face recognition problems. Unlike ot...
متن کاملFacial Recognition System Using Efficient Methods for Facial Scale Variations
Facial recognition technology is effective in human computer communication. Robustness for facial recognition is necessary because face views change in many ways due to position, expression, and light. We propose a facial recognition system robust for facial scale variations, which is mainly composed of our flexible feature matching and rapid parallel estimation of facial position and scale.
متن کاملFacial Expression Recognition Based on Structural Changes in Facial Skin
Facial expressions are the most powerful and direct means of presenting human emotions and feelings and offer a window into a persons’ state of mind. In recent years, the study of facial expression and recognition has gained prominence; as industry and services are keen on expanding on the potential advantages of facial recognition technology. As machine vision and artificial intelligence advan...
متن کاملAn automatic facial expression recognition system evaluated by different classifiers
This work proposes an automatic human-face expression recognition system that classifies seven different facial expressions: happiness, anger, sadness, surprise, disgust, fear and neutral. The experimental results show that the proposed system achieves the best hit hate using a linear discriminant classifier, 99.71% and 99.55% for MUG and FEEDTUM databases respectively.
متن کاملFacial Expression Recognition System
This thesis describes the problem of facial expression recognition in the field of computer vision. Firstly, the psychological background of a problem is presented. Then, the idea of facial expression recognition system (FERS) is outlined and the requirements of such system are specified. The FER system consists of 3 stages: face detection, feature extraction and expression recognition. Methods...
متن کاملذخیره 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: Journal of Pharmaceutical Negative Results
سال: 2022
ISSN: ['0976-9234', '2229-7723']
DOI: https://doi.org/10.47750/pnr.2022.13.s04.193