Survey on facial expressions recognition: databases, features and classification schemes
Author:
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/s11042-023-15139-w.pdf
Reference140 articles.
1. Abdulrahman M, Eleyan A (2015) Facial expression recognition using support vector machines. In; 2015 23nd signal processing and communications applications conference (SIU). IEEE
2. Agarwal S, Chatterjee M, Mukherjee DP (2012) Recognizing facial expressions using a novel shape motion descriptor. In: Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
3. Agarwal S, Santra B, Mukherjee DP (2018) Anubhav: recognizing emotions through facial expression. Vis Comput 34(2):177–191
4. Bilkhu MS, Gupta S, Srivastava VK (2019) Emotion classification from facial expressions using cascaded regression trees and SVM. In: Computational Intelligence: Theories, Applications and Future Directions-Volume II. Springer, Singapore. pp 585–594
5. Biswas S, Sil J (2015) An efficient expression recognition method using contourlet transform. Proceedings of the 2nd International Conference on Perception and Machine Intelligence
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