A Study on Facial Components Detection Method for Face-based Emotion Recognition

被引：0
作者：
Oh, Byung-Hun [1 ]
Hong, Kwang-Seok [1 ]
机构：
[1] Sungkyunkwan Univ, Sch Informat & Commun Engn, 300 Chunchun Dong, Suwon 440746, Kyungki Do, South Korea
来源：
2014 INTERNATIONAL CONFERENCE ON AUDIO, LANGUAGE AND IMAGE PROCESSING (ICALIP), VOLS 1-2 | 2014年
关键词：
Facial components detection; Emotion Recognition; Evaluation method;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, we propose a facial components detection method for face-based emotion recognition. First, the face region is detected through a combination of the YCbCr color model and the Maximum Morphological Gradient Combination (MMGC) image. The searching region for the facial component detection is limited to the detected face region. The facial components are detected using the histogram method, the blob labeling method, and the MMGC image. Also, a tagging operation for reliable evaluation was performed. The detection performance was evaluated using a tagging coordinate. In the experiment result, the facial components detection showed 81.4% accuracy and a 53.6 ms detection time. We show the reliability of the proposed evaluation method through a number of experiments using the tagging method
引用
收藏
页码：256 / 259
页数：4
相关论文
共 50 条
[41]   AutoFER: PCA and PSO based automatic facial emotion recognition [J].
Malika Arora ;
Munish Kumar .
Multimedia Tools and Applications, 2021, 80 :3039-3049
[42]   Efficient-SwishNet Based System for Facial Emotion Recognition [J].
Dar, Tarim ;
Javed, Ali ;
Bourouis, Sami ;
Hussein, Hany S. ;
Alshazly, Hammam .
IEEE ACCESS, 2022, 10 :71311-71328
[43]   Facial Expression Based Emotion Recognition Using Neural Networks [J].
Yagis, Ekin ;
Unel, Mustafa .
IMAGE ANALYSIS AND RECOGNITION (ICIAR 2018), 2018, 10882 :210-217
[44]   From methods to datasets: a detailed study on facial emotion recognition [J].
Nidhi, Bindu ;
Verma, Bindu .
APPLIED INTELLIGENCE, 2023, 53 (24) :30219-30249
[45]   From methods to datasets: a detailed study on facial emotion recognition [J].
Bindu Nidhi .
Applied Intelligence, 2023, 53 :30219-30249
[46]   Emotion Recognition Research based on Integration of Facial Expression and Voice [J].
Xu, Fen ;
Wang, Zhe .
2018 11TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2018), 2018,
[47]   AutoFER: PCA and PSO based automatic facial emotion recognition [J].
Arora, Malika ;
Kumar, Munish .
MULTIMEDIA TOOLS AND APPLICATIONS, 2021, 80 (02) :3039-3049
[48]   Facial emotion recognition based on deep transfer learning approach [J].
Sultana, Aziza ;
Dey, Samrat Kumar ;
Rahman, Md. Armanur .
MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 82 (28) :44175-44189
[49]   A Novel Facial Emotion Recognition Scheme Based on Graph Mining [J].
Bedre, Jyoti S. ;
Prasanna, P. L. .
SUSTAINABLE COMMUNICATION NETWORKS AND APPLICATION, ICSCN 2021, 2022, 93 :843-853
[50]   Multimodal Emotion Recognition Based on Facial Expressions, Speech, and EEG [J].
Pan, Jiahui ;
Fang, Weijie ;
Zhang, Zhihang ;
Chen, Bingzhi ;
Zhang, Zheng ;
Wang, Shuihua .
IEEE OPEN JOURNAL OF ENGINEERING IN MEDICINE AND BIOLOGY, 2024, 5 :396-403
12345