3D Model Retrieval Based on Representative Views
3D model retrieval based on representative views was proposed. On the view representation of the 3D model, in order to fully represent the model and reduce redundant information, we firstly adopt Light Field Descriptor (LFD) to generate 2D views, and then use K-MEANS to get representative views from...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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Harbin University of Science and Technology Publications
2021-12-01
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| Series: | Journal of Harbin University of Science and Technology |
| Subjects: | |
| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2030 |
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| _version_ | 1850055435115036672 |
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| author | DING Bo TANG Lei HE Yong jun YU Jun |
| author_facet | DING Bo TANG Lei HE Yong jun YU Jun |
| author_sort | DING Bo |
| collection | DOAJ |
| description | 3D model retrieval based on representative views was proposed. On the view representation of the 3D model, in order to fully represent the model and reduce redundant information, we firstly adopt Light Field Descriptor (LFD) to generate 2D views, and then use K-MEANS to get representative views from the 2D views. Next, a Convolution Neural Network (CNN) is adopted to extract the view feature and classify. At the same time, a similarity metrics supporting multiple query method is proposed to realize model retrieval with sketches, pictures or 3D models as input. Results on ModelNet40 showed that the proposed method could achieve an accuracy of 100% for part of models with distinct features |
| format | Article |
| id | doaj-art-7a03803fd9c74ab78cb3e8048bc5660e |
| institution | DOAJ |
| issn | 1007-2683 |
| language | zho |
| publishDate | 2021-12-01 |
| publisher | Harbin University of Science and Technology Publications |
| record_format | Article |
| series | Journal of Harbin University of Science and Technology |
| spelling | doaj-art-7a03803fd9c74ab78cb3e8048bc5660e2025-08-20T02:51:59ZzhoHarbin University of Science and Technology PublicationsJournal of Harbin University of Science and Technology1007-26832021-12-012606182310.15938/j.jhust.2021.06.0033D Model Retrieval Based on Representative ViewsDING Bo0TANG Lei1HE Yong jun2YU Jun3School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, ChinaSchool of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, ChinaSchool of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, ChinaSchool of Automation, Harbin University of Science and Technology, Harbin 150080, China3D model retrieval based on representative views was proposed. On the view representation of the 3D model, in order to fully represent the model and reduce redundant information, we firstly adopt Light Field Descriptor (LFD) to generate 2D views, and then use K-MEANS to get representative views from the 2D views. Next, a Convolution Neural Network (CNN) is adopted to extract the view feature and classify. At the same time, a similarity metrics supporting multiple query method is proposed to realize model retrieval with sketches, pictures or 3D models as input. Results on ModelNet40 showed that the proposed method could achieve an accuracy of 100% for part of models with distinct featureshttps://hlgxb.hrbust.edu.cn/#/digest?ArticleID=20303d model retrievalrepresentative viewsconvolutional neural networkk-means |
| spellingShingle | DING Bo TANG Lei HE Yong jun YU Jun 3D Model Retrieval Based on Representative Views Journal of Harbin University of Science and Technology 3d model retrieval representative views convolutional neural network k-means |
| title | 3D Model Retrieval Based on Representative Views |
| title_full | 3D Model Retrieval Based on Representative Views |
| title_fullStr | 3D Model Retrieval Based on Representative Views |
| title_full_unstemmed | 3D Model Retrieval Based on Representative Views |
| title_short | 3D Model Retrieval Based on Representative Views |
| title_sort | 3d model retrieval based on representative views |
| topic | 3d model retrieval representative views convolutional neural network k-means |
| url | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2030 |
| work_keys_str_mv | AT dingbo 3dmodelretrievalbasedonrepresentativeviews AT tanglei 3dmodelretrievalbasedonrepresentativeviews AT heyongjun 3dmodelretrievalbasedonrepresentativeviews AT yujun 3dmodelretrievalbasedonrepresentativeviews |