Emotional Rendering of 3D Indoor Scene with Chinese Elements
One of the challenging tasks is to use computer technology to automatically design a virtual indoor scene that both satisfies realness and matches the target emotion. The subjective nature of emotions brings uncertainty of results. At present, there is a lack of approach to identify and evaluate emo...
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| Format: | Article |
| Language: | zho |
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Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2024-02-01
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| Series: | Jisuanji kexue yu tansuo |
| Subjects: | |
| Online Access: | http://fcst.ceaj.org/fileup/1673-9418/PDF/2210096.pdf |
| _version_ | 1797334223258910720 |
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| author | SHENG Jiachuan, HU Guolin, LI Yuzhi |
| author_facet | SHENG Jiachuan, HU Guolin, LI Yuzhi |
| author_sort | SHENG Jiachuan, HU Guolin, LI Yuzhi |
| collection | DOAJ |
| description | One of the challenging tasks is to use computer technology to automatically design a virtual indoor scene that both satisfies realness and matches the target emotion. The subjective nature of emotions brings uncertainty of results. At present, there is a lack of approach to identify and evaluate emotion of indoor scenes. In addition, under the premise of fully considering emotional appeals, the authenticity of scene is also one of important factors in indoor scene design. Aiming at above problems, a novel optimization algorithm combining Chinese elements for indoor scenes rendering is proposed. Firstly, an emotion classifier is trained to identify and evaluate the emotion with the features extracted via deep learning from a indoor scene dataset containing 25000 images. Secondly, in order to ensure the authenticity of rendering results, an algorithm is proposed to evaluate how realistic the colors of the objects’ textures. Next, an algorithm is designed to render indoor scene automatically according to the target emotion. Then, a style transfer algorithm integrating with Chinese elements is used to carry out fine-grained refinement processing on the furnishings in an indoor scene, improve the spatial connotation, cultural connotation and emotional expression of rendering results, and enhance the visual appeal. Finally, the approach is tested in four indoor scenes, and the correctness and effectiveness of the approach are verified through statistical analysis of results and user survey data. |
| first_indexed | 2024-03-08T08:17:41Z |
| format | Article |
| id | doaj.art-b7889bcafe9e44ec8a4fabb2fe19b9d2 |
| institution | Directory Open Access Journal |
| issn | 1673-9418 |
| language | zho |
| last_indexed | 2024-03-08T08:17:41Z |
| publishDate | 2024-02-01 |
| publisher | Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press |
| record_format | Article |
| series | Jisuanji kexue yu tansuo |
| spelling | doaj.art-b7889bcafe9e44ec8a4fabb2fe19b9d22024-02-02T07:10:08ZzhoJournal of Computer Engineering and Applications Beijing Co., Ltd., Science PressJisuanji kexue yu tansuo1673-94182024-02-0118246547610.3778/j.issn.1673-9418.2210096Emotional Rendering of 3D Indoor Scene with Chinese ElementsSHENG Jiachuan, HU Guolin, LI Yuzhi0School of Science and Technology, Tianjin University of Finance and Economics, Tianjin 300222, ChinaOne of the challenging tasks is to use computer technology to automatically design a virtual indoor scene that both satisfies realness and matches the target emotion. The subjective nature of emotions brings uncertainty of results. At present, there is a lack of approach to identify and evaluate emotion of indoor scenes. In addition, under the premise of fully considering emotional appeals, the authenticity of scene is also one of important factors in indoor scene design. Aiming at above problems, a novel optimization algorithm combining Chinese elements for indoor scenes rendering is proposed. Firstly, an emotion classifier is trained to identify and evaluate the emotion with the features extracted via deep learning from a indoor scene dataset containing 25000 images. Secondly, in order to ensure the authenticity of rendering results, an algorithm is proposed to evaluate how realistic the colors of the objects’ textures. Next, an algorithm is designed to render indoor scene automatically according to the target emotion. Then, a style transfer algorithm integrating with Chinese elements is used to carry out fine-grained refinement processing on the furnishings in an indoor scene, improve the spatial connotation, cultural connotation and emotional expression of rendering results, and enhance the visual appeal. Finally, the approach is tested in four indoor scenes, and the correctness and effectiveness of the approach are verified through statistical analysis of results and user survey data.http://fcst.ceaj.org/fileup/1673-9418/PDF/2210096.pdfvirtual reality; affective modeling;?chinese elements; style transfer |
| spellingShingle | SHENG Jiachuan, HU Guolin, LI Yuzhi Emotional Rendering of 3D Indoor Scene with Chinese Elements Jisuanji kexue yu tansuo virtual reality; affective modeling;?chinese elements; style transfer |
| title | Emotional Rendering of 3D Indoor Scene with Chinese Elements |
| title_full | Emotional Rendering of 3D Indoor Scene with Chinese Elements |
| title_fullStr | Emotional Rendering of 3D Indoor Scene with Chinese Elements |
| title_full_unstemmed | Emotional Rendering of 3D Indoor Scene with Chinese Elements |
| title_short | Emotional Rendering of 3D Indoor Scene with Chinese Elements |
| title_sort | emotional rendering of 3d indoor scene with chinese elements |
| topic | virtual reality; affective modeling;?chinese elements; style transfer |
| url | http://fcst.ceaj.org/fileup/1673-9418/PDF/2210096.pdf |
| work_keys_str_mv | AT shengjiachuanhuguolinliyuzhi emotionalrenderingof3dindoorscenewithchineseelements |