A comparative study on facial expression recognition using local binary patterns, convolutional neural network and frequency neural network-Reference-Cited by-同舟云学术

A comparative study on facial expression recognition using local binary patterns, convolutional neural network and frequency neural network

Published:2023-02-23 Issue:16 Volume:82 Page:24369-24385
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Kumar Sanjeev,Sagar Vikas,Punetha Deepak^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-14753-y.pdf

Reference41 articles.

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3. Al-akam R, Al-darraji S, Paulus D (2018) Human action recognition from RGBD videos based on retina model and local binary pattern features. In: 26 Conference on Computer Graphics, Visualization and Computer Vision (WSCG), pp 1–7

4. Bartlett MS, Littlewort G, Frank M, Lainscsek C, Fasel I, Movellan J (2005) Recognizing facial expression: machine learning and application to spotaneous behavior. In: IEEE conference on computer vision and pattern recognition (CVPR)

5. Chang Y, Hu C, Turk M (2004) Probabilistic expression analysis on manifolds. In: IEEE conference on computer vision and pattern recognition (CVPR)

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