A TARGET AWARE TEXTURE MAPPING FOR SCULPTURE HERITAGE MODELING
In this paper, we proposed a target aware image to model registration method using silhouette as the matching clues. The target sculpture object in natural environment can be automatically detected from image with complex background with assistant of 3D geometric data. Then the silhouette can be aut...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2017-08-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-2-W2/335/2017/isprs-annals-IV-2-W2-335-2017.pdf |
| _version_ | 1819176313259294720 |
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| author | C. Yang C. Yang F. Zhang F. Zhang X. Huang X. Huang X. Huang D. Li Y. Zhu |
| author_facet | C. Yang C. Yang F. Zhang F. Zhang X. Huang X. Huang X. Huang D. Li Y. Zhu |
| author_sort | C. Yang |
| collection | DOAJ |
| description | In this paper, we proposed a target aware image to model registration method using silhouette as the matching clues. The target sculpture object in natural environment can be automatically detected from image with complex background with assistant of 3D geometric data. Then the silhouette can be automatically extracted and applied in image to model matching. Due to the user don’t need to deliberately draw target area, the time consumption for precisely image to model matching operation can be greatly reduced. To enhance the function of this method, we also improved the silhouette matching algorithm to support conditional silhouette matching. Two experiments using a stone lion sculpture of Ming Dynasty and a potable relic in museum are given to evaluate the method we proposed. The method we proposed in this paper is extended and developed into a mature software applied in many culture heritage documentation projects. |
| first_indexed | 2024-12-22T21:08:46Z |
| format | Article |
| id | doaj.art-bf634d6d53a84299ac857bcb3f1175ce |
| institution | Directory Open Access Journal |
| issn | 2194-9042 2194-9050 |
| language | English |
| last_indexed | 2024-12-22T21:08:46Z |
| publishDate | 2017-08-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-bf634d6d53a84299ac857bcb3f1175ce2022-12-21T18:12:35ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502017-08-01IV-2-W233534010.5194/isprs-annals-IV-2-W2-335-2017A TARGET AWARE TEXTURE MAPPING FOR SCULPTURE HERITAGE MODELINGC. Yang0C. Yang1F. Zhang2F. Zhang3X. Huang4X. Huang5X. Huang6D. Li7Y. Zhu8LIESMARS, Wuhan University, Wuhan, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Luoyu Road 129, Wuhan, ChinaLIESMARS, Wuhan University, Wuhan, ChinaLaboratory of Digital Yungang, Datong, ChinaLIESMARS, Wuhan University, Wuhan, ChinaCollaborative Innovation Center of Geospatial Technology, Wuhan University, Luoyu Road 129, Wuhan, ChinaLaboratory of Digital Yungang, Datong, ChinaLIESMARS, Wuhan University, Wuhan, ChinaLIESMARS, Wuhan University, Wuhan, ChinaIn this paper, we proposed a target aware image to model registration method using silhouette as the matching clues. The target sculpture object in natural environment can be automatically detected from image with complex background with assistant of 3D geometric data. Then the silhouette can be automatically extracted and applied in image to model matching. Due to the user don’t need to deliberately draw target area, the time consumption for precisely image to model matching operation can be greatly reduced. To enhance the function of this method, we also improved the silhouette matching algorithm to support conditional silhouette matching. Two experiments using a stone lion sculpture of Ming Dynasty and a potable relic in museum are given to evaluate the method we proposed. The method we proposed in this paper is extended and developed into a mature software applied in many culture heritage documentation projects.https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-2-W2/335/2017/isprs-annals-IV-2-W2-335-2017.pdf |
| spellingShingle | C. Yang C. Yang F. Zhang F. Zhang X. Huang X. Huang X. Huang D. Li Y. Zhu A TARGET AWARE TEXTURE MAPPING FOR SCULPTURE HERITAGE MODELING ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | A TARGET AWARE TEXTURE MAPPING FOR SCULPTURE HERITAGE MODELING |
| title_full | A TARGET AWARE TEXTURE MAPPING FOR SCULPTURE HERITAGE MODELING |
| title_fullStr | A TARGET AWARE TEXTURE MAPPING FOR SCULPTURE HERITAGE MODELING |
| title_full_unstemmed | A TARGET AWARE TEXTURE MAPPING FOR SCULPTURE HERITAGE MODELING |
| title_short | A TARGET AWARE TEXTURE MAPPING FOR SCULPTURE HERITAGE MODELING |
| title_sort | target aware texture mapping for sculpture heritage modeling |
| url | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-2-W2/335/2017/isprs-annals-IV-2-W2-335-2017.pdf |
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