A Review of Movement Exaggeration Techniques to Enhance the Precision Identification for Minute Facial Feelings

Authors

  • M Jyothirmai Department of ECE, St. Peter’s Engineering College, Medchal, India
  • Y V Sree Chandana Department of ECE, St. Peter’s Engineering College, Medchal, Hyderabad, Telangana, India
  • C Vishnu Vardhan Department of ECE, St. Peter’s Engineering College, Medchal, Hyderabad, Telangana, India

DOI:

https://doi.org/10.26438/ijcse/v6i1.186191

Keywords:

Extreme learning machine, Spatio-temporal descriptor, Binary decision tree, Scale invariant feature transform

Abstract

Acknowledgment of regular feelings from human countenances is an interesting point with a number of potential applications like human-framework connection, computerized frameworks, image and video recovery and similar development platforms. Much research has already been done in this area and there is scope for further improvement. Comparison was done for four different algorithms based on accuracy of recognition rate. The goal is to achieve improvement compared to previous algorithms. By using PCA-SIFT the accuracy was improved between 6%-18%.

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Published

2025-11-12
CITATION
DOI: 10.26438/ijcse/v6i1.186191
Published: 2025-11-12

How to Cite

[1]
M. Jyothirmai, Y. V. Sree Chandana, and C. Vishnu Vardhan, “A Review of Movement Exaggeration Techniques to Enhance the Precision Identification for Minute Facial Feelings”, Int. J. Comp. Sci. Eng., vol. 6, no. 1, pp. 186–191, Nov. 2025.

Issue

Vol. 6 No. 1 (2018): IJCSE January Ediion

Section

Review Article

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