Cited by 24Face and Expression RecognitionEmotion and Mood RecognitionFace recognition and analysis

A Deep Structure for Facial Expression Recognition under Partial Occlusion

Cheng, Yue, Jiang, Bin, Jia, Kebin·2014·2014 Tenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing

Abstract

According to the complex manifestation of human facial expression in realistic environment, occlusion problem has become a new challenge and a hot spot in the field of expression recognition. To make facial expression recognition applied in broader way, the main work is to increase the accuracy under different partial occlusion with feasible robust, which is limited by the information missing and insufficient training with fewer samples. Therefore, an algorithm with a deep structure has been proposed in this paper dealing with four types of frequently occurred occlusion. As a classic method, the Gabor filter is used for feature extraction at first. Then, multi-layers network is used to pre-train the training data samples, with re-describing the input Gabor features in complex way and fine-tuning the weights to refine the learning model. The experimental results on JAFFE database show that the proposed method is valid to achieve better recognition rate especially for partial occlusion on eyes and mouth.

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Crossref · 10.1109/iih-msp.2014.59

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Authors
Cheng, Y., Jiang, B., & Jia, K.
Affiliations
Beijing University of Technology (CN)
Venue
2014 Tenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing
Publisher
IEEE
Published
2014-08
Pages
211-214
OpenAlex
W2318934522
Cited by
24
References
9
Citations by year
2025: 2 · 2024: 4 · 2023: 2 · 2022: 3 · 2021: 3 · 2020: 6 · 2019: 2 · 2018: 1 · 2017: 1
FWCI
0.18
Type
conference paper
Language
en
Open access
closed
Locations
International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP) (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face and Expression Recognition
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
Keywords
facial expression recognition, partial occlusion, deep structure, Gabor features, multilayer networks, pre-training and fine-tuning, JAFFE database

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