Double OptconNet architecture based facial expression recognition in video processing-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Double OptconNet architecture based facial expression recognition in video processing

Published:2022-01-02 Issue:1 Volume:70 Page:46-60
ISSN:1368-2199
Container-title:The Imaging Science Journal
language:en
Short-container-title:The Imaging Science Journal

Author:

Nagaraju Melam¹,Yannam Adilakshmi²,Sreedhar P Siva Satya¹,Bhargavi Maridu³

Affiliation:

1. Department of Information Technology, Seshadri Rao Gudlavalleru Engineering College, Vijayawada, India

2. Department of Computer Science and Engineering, Seshadri Rao Gudlavalleru Engineering College, Vijayawada, India

3. Department of Computer Science and Engineering, Vignan University, Vadlamudi, India

Publisher

Informa UK Limited

Subject

Computer Vision and Pattern Recognition,Media Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/13682199.2022.2163344

Reference40 articles.

1. Facial Expression Recognition in Videos Using Dynamic Kernels

2. Fast facial expression recognition using local binary features and shallow neural networks

3. Video-Based Facial Expression Recognition using Deep Temporal–Spatial Networks

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing mental health prognosis: an investigation of advanced hybrid classifiers with cutting-edge feature engineering and fusion strategies;International Journal of Information Technology;2024-08-27

2. Exploring ensemble-based approaches for granular suicide risk assessment: a comprehensive framework in therapeutic informatics;International Journal of Information Technology;2024-07-20

3. Hybrid Classifier for Optimizing Mental Health Prediction: Feature Engineering and Fusion Technique;International Journal of Mental Health and Addiction;2024-06-21

4. Research on Video Personnel Emotion Recognition Based on Improved 3D-ResNet34 Model;Journal of Image and Signal Processing;2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3