Complex Emotion Estimation Using Analysis-by-Synthesis of Facial Expression Images
This research proposes an approach for recognizing facial expressions for complex emotion estimation through the utilization of generated facial images. The proposed approach consists of two main parts: facial image generation and facial expression recognition. In the first part, we introduce Condit...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/11004126/ |
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| author | Win Shwe Sin Khine Prarinya Siritanawan Kazunori Kotani |
| author_facet | Win Shwe Sin Khine Prarinya Siritanawan Kazunori Kotani |
| author_sort | Win Shwe Sin Khine |
| collection | DOAJ |
| description | This research proposes an approach for recognizing facial expressions for complex emotion estimation through the utilization of generated facial images. The proposed approach consists of two main parts: facial image generation and facial expression recognition. In the first part, we introduce Conditioned Emotion Generative Adversarial Networks (cEmoGANs) to synthesize images that convey complex facial expressions. Unlike previous methods, our generative model maintains face identity information and expresses various types of complex emotions. This capability encourages the generator to have control over the image generation process, resulting in enhanced image quality, reduced distortion, and increased diversity of generated images. The second part involves the design of a multiple-label classification based on a convolutional neural network trained on the complex facial expression images generated from the first part, which is employed in the recognition of complex facial expressions for emotion estimation. Our model, using images generated by cEmoGANs, demonstrates a notable performance surpassing the capabilities of the previous models in comparative evaluations. |
| format | Article |
| id | doaj-art-4c60935cc5ee40129ae8496e786dfa72 |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-4c60935cc5ee40129ae8496e786dfa722025-08-20T03:13:42ZengIEEEIEEE Access2169-35362025-01-0113887318874610.1109/ACCESS.2025.357016711004126Complex Emotion Estimation Using Analysis-by-Synthesis of Facial Expression ImagesWin Shwe Sin Khine0Prarinya Siritanawan1https://orcid.org/0000-0002-9023-3208Kazunori Kotani2School of Information Science, Japan Advanced Institute of Science and Technology, Nomi, JapanDepartment of Engineering, Graduate School of Science and Technology, Informatics and Interdisciplinary Systems Division, Shinshu University, Nagano, JapanFaculty of Transdisciplinary Science, Institute of Philosophy in Interdisciplinary Science, Kanazawa University, Kanazawa, Ishikawa, JapanThis research proposes an approach for recognizing facial expressions for complex emotion estimation through the utilization of generated facial images. The proposed approach consists of two main parts: facial image generation and facial expression recognition. In the first part, we introduce Conditioned Emotion Generative Adversarial Networks (cEmoGANs) to synthesize images that convey complex facial expressions. Unlike previous methods, our generative model maintains face identity information and expresses various types of complex emotions. This capability encourages the generator to have control over the image generation process, resulting in enhanced image quality, reduced distortion, and increased diversity of generated images. The second part involves the design of a multiple-label classification based on a convolutional neural network trained on the complex facial expression images generated from the first part, which is employed in the recognition of complex facial expressions for emotion estimation. Our model, using images generated by cEmoGANs, demonstrates a notable performance surpassing the capabilities of the previous models in comparative evaluations.https://ieeexplore.ieee.org/document/11004126/Complex emotionsanalysis-by-synthesisconditioned emotion generative adversarial networksemotions estimation |
| spellingShingle | Win Shwe Sin Khine Prarinya Siritanawan Kazunori Kotani Complex Emotion Estimation Using Analysis-by-Synthesis of Facial Expression Images IEEE Access Complex emotions analysis-by-synthesis conditioned emotion generative adversarial networks emotions estimation |
| title | Complex Emotion Estimation Using Analysis-by-Synthesis of Facial Expression Images |
| title_full | Complex Emotion Estimation Using Analysis-by-Synthesis of Facial Expression Images |
| title_fullStr | Complex Emotion Estimation Using Analysis-by-Synthesis of Facial Expression Images |
| title_full_unstemmed | Complex Emotion Estimation Using Analysis-by-Synthesis of Facial Expression Images |
| title_short | Complex Emotion Estimation Using Analysis-by-Synthesis of Facial Expression Images |
| title_sort | complex emotion estimation using analysis by synthesis of facial expression images |
| topic | Complex emotions analysis-by-synthesis conditioned emotion generative adversarial networks emotions estimation |
| url | https://ieeexplore.ieee.org/document/11004126/ |
| work_keys_str_mv | AT winshwesinkhine complexemotionestimationusinganalysisbysynthesisoffacialexpressionimages AT prarinyasiritanawan complexemotionestimationusinganalysisbysynthesisoffacialexpressionimages AT kazunorikotani complexemotionestimationusinganalysisbysynthesisoffacialexpressionimages |