Adaptive Geometry Images for Remeshing
Joint Authors
Wang, Shaofan
Yin, Baocai
Kong, Dehui
Shi, Lina
Source
International Journal of Digital Multimedia Broadcasting
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-02
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Telecommunications Engineering
Electronic engineering
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Shi, Lina& Kong, Dehui& Wang, Shaofan& Yin, Baocai. 2017. Adaptive Geometry Images for Remeshing. International Journal of Digital Multimedia Broadcasting،Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1165897
Modern Language Association (MLA)
Shi, Lina…[et al.]. Adaptive Geometry Images for Remeshing. International Journal of Digital Multimedia Broadcasting No. 2017 (2017), pp.1-15.
https://search.emarefa.net/detail/BIM-1165897
American Medical Association (AMA)
Shi, Lina& Kong, Dehui& Wang, Shaofan& Yin, Baocai. Adaptive Geometry Images for Remeshing. International Journal of Digital Multimedia Broadcasting. 2017. Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1165897
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1165897