The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Efficient feature extraction for 2D/3D objects in mesh representation
Abstract
Meshes are dominantly used to represent 3D models as they fit well with graphics rendering hardware. Features such as volume, moments, and Fourier transform coefficients need to be calculated from the mesh representation efficiently. We propose an algorithm to calculate these features without transforming the mesh into other representations such as the volumetric representation. To calculate a feature for a mesh, we show that we can first compute it for each elementary shape such as a triangle or a tetrahedron, and then add up all the values for the mesh. The algorithm is simple and efficient, with many potential applications.
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Cites
Computer graphics: principles and practice
(2014) · Choice Reviews Online · doi:10.5860/choice.51-2713 · Cited by 4,651
Computer graphics: Principles and practice
Carter, M. P. (1997) · Color Research & Application · doi:10.1002/(sici)1520-6378(199702)22:1<65::aid-col11>3.0.co;2-7 · Cited by 814
Computer graphics principles and practice, second edition
Miller, J. C. (1992) · Computers & Graphics · doi:10.1016/0097-8493(92)90053-x · Cited by 273
A symbolic method for calculating the integral properties of arbitrary nonconvex polyhedra
Lien, S.-L., & Kajiya, J. T. (1984) · IEEE Computer Graphics and Applications · doi:10.1109/mcg.1984.6429334 · Cited by 124
A survey of construction and manipulation of octrees
Chen, H. H., & Huang, T. S. (1988) · Computer Vision Graphics and Image Processing · doi:10.1016/0734-189x(88)90092-8 · Cited by 118
A new linear octree construction by filling algorithms
Yang, S.-N., & Lin, T. (2002) · International Phoenix Conference on Computers and Communications (IPCCC) · doi:10.1109/pccc.1991.113888 · Cited by 6
Cited by
Zwanenburg, A., Vallières, M., Abdalah, M. A., Aerts, H. J. W. L., Andrearczyk, V., Apte, A., Ashrafinia, S., Bakas, S., Beukinga, R. J., Boellaard, R., et al. (2020) · Radiology · doi:10.1148/radiol.2020191145 · Cited by 4,177
MeshNet: Mesh Neural Network for 3D Shape Representation
Feng, Y., Feng, Y., You, H., Zhao, X., & Gao, Y. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v33i01.33018279 · Cited by 328
Metadata
- Authors
- Zhang, C., & Chen, T.
- Venue
- Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)
- Publisher
- IEEE
- Published
- 2002-11-13
- Volume
- 2
- Pages
- 935-938
- ISSN
- 1522-4880 (ISSN-L)
- OpenAlex
- W1507347479
- Cited by
- 393
- References
- 6
- FWCI
- 21.00
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Zhang, C., & Chen, T. (2002). Efficient feature extraction for 2D/3D objects in mesh representation. Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205). https://doi.org/10.1109/icip.2001.958278
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