Adaptive Geometry Images for Remeshing
Geometry images are a kind of completely regular remeshing methods for mesh representation. Traditional geometry images have difficulties in achieving optimal reconstruction errors and preserving manually selected geometric details, due to the limitations of parametrization methods. To solve two iss...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
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| Series: | International Journal of Digital Multimedia Broadcasting |
| Online Access: | http://dx.doi.org/10.1155/2017/2724184 |
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| _version_ | 1832562206117462016 |
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| author | Lina Shi Dehui Kong Shaofan Wang Baocai Yin |
| author_facet | Lina Shi Dehui Kong Shaofan Wang Baocai Yin |
| author_sort | Lina Shi |
| collection | DOAJ |
| description | Geometry images are a kind of completely regular remeshing methods for mesh representation. Traditional geometry images have difficulties in achieving optimal reconstruction errors and preserving manually selected geometric details, due to the limitations of parametrization methods. To solve two issues, we propose two adaptive geometry images for remeshing triangular meshes. The first scheme produces geometry images with the minimum Hausdorff error by finding the optimization direction for sampling points based on the Hausdorff distance between the original mesh and the reconstructed mesh. The second scheme produces geometry images with higher reconstruction precision over the manually selected region-of-interest of the input mesh, by increasing the number of sampling points over the region-of-interest. Experimental results show that both schemes give promising results compared with traditional parametrization-based geometry images. |
| format | Article |
| id | doaj-art-94f4d39561cc496297fe39c92859f1ec |
| institution | Kabale University |
| issn | 1687-7578 1687-7586 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Digital Multimedia Broadcasting |
| spelling | doaj-art-94f4d39561cc496297fe39c92859f1ec2025-02-03T01:23:09ZengWileyInternational Journal of Digital Multimedia Broadcasting1687-75781687-75862017-01-01201710.1155/2017/27241842724184Adaptive Geometry Images for RemeshingLina Shi0Dehui Kong1Shaofan Wang2Baocai Yin3Beijing Key Laboratory of Multimedia & Intelligent Software Technology, Faculty of Information Technology, Beijing University of Technology, Beijing 100124, ChinaBeijing Key Laboratory of Multimedia & Intelligent Software Technology, Faculty of Information Technology, Beijing University of Technology, Beijing 100124, ChinaBeijing Key Laboratory of Multimedia & Intelligent Software Technology, Faculty of Information Technology, Beijing University of Technology, Beijing 100124, ChinaFaculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, ChinaGeometry images are a kind of completely regular remeshing methods for mesh representation. Traditional geometry images have difficulties in achieving optimal reconstruction errors and preserving manually selected geometric details, due to the limitations of parametrization methods. To solve two issues, we propose two adaptive geometry images for remeshing triangular meshes. The first scheme produces geometry images with the minimum Hausdorff error by finding the optimization direction for sampling points based on the Hausdorff distance between the original mesh and the reconstructed mesh. The second scheme produces geometry images with higher reconstruction precision over the manually selected region-of-interest of the input mesh, by increasing the number of sampling points over the region-of-interest. Experimental results show that both schemes give promising results compared with traditional parametrization-based geometry images.http://dx.doi.org/10.1155/2017/2724184 |
| spellingShingle | Lina Shi Dehui Kong Shaofan Wang Baocai Yin Adaptive Geometry Images for Remeshing International Journal of Digital Multimedia Broadcasting |
| title | Adaptive Geometry Images for Remeshing |
| title_full | Adaptive Geometry Images for Remeshing |
| title_fullStr | Adaptive Geometry Images for Remeshing |
| title_full_unstemmed | Adaptive Geometry Images for Remeshing |
| title_short | Adaptive Geometry Images for Remeshing |
| title_sort | adaptive geometry images for remeshing |
| url | http://dx.doi.org/10.1155/2017/2724184 |
| work_keys_str_mv | AT linashi adaptivegeometryimagesforremeshing AT dehuikong adaptivegeometryimagesforremeshing AT shaofanwang adaptivegeometryimagesforremeshing AT baocaiyin adaptivegeometryimagesforremeshing |