The DOI matches its Crossref record; 83 of the 83 references it cites were found in a registry or an index.
Symmetry in 3D Geometry: Extraction and Applications
Open accessAbstract
The concept of symmetry has received significant attention in computer graphics and computer vision research in recent years. Numerous methods have been proposed to find, extract, encode and exploit geometric symmetries and high‐level structural information for a wide variety of geometry processing tasks. This report surveys and classifies recent developments in symmetry detection. We focus on elucidating the key similarities and differences between existing methods to gain a better understanding of a fundamental problem in digital geometry processing and shape understanding in general. We discuss a variety of applications in computer graphics and geometry processing that benefit from symmetry information for more effective processing. An analysis of the strengths and limitations of existing algorithms highlights the plenitude of opportunities for future research both in terms of theory and applications.
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Cites
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A Concise and Provably Informative Multi‐Scale Signature Based on Heat Diffusion
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Cited by
Shape2Pose: human-centric shape analysis
Kim, V. G., Chaudhuri, S., Guibas, L., & Funkhouser, T. (2014) · ACM Transactions on Graphics · doi:10.1145/2601097.2601117 · Cited by 112
Recent Advancements in Learning Algorithms for Point Clouds: An Updated Overview
Camuffo, E., Mari, D., & Milani, S. (2022) · Sensors · doi:10.3390/s22041357 · Cited by 73
3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversarial Network
Hermoza, R., & Sipiran, I. (2018) · Proceedings of Computer Graphics International 2018 · doi:10.1145/3208159.3208173 · Cited by 56
Metadata
- Authors
- Mitra, N. J., Pauly, M., Wand, M., & Ceylan, D.
- Venue
- Computer Graphics Forum
- Publisher
- Wiley
- Published
- 2013-02-04
- Volume
- 32
- Issue
- 6
- Pages
- 1-23
- ISSN
- 0167-7055 (ISSN-L)
- 1467-8659
- OpenAlex
- W1580065766
- Cited by
- 307
- References
- 83
- FWCI
- 35.38
- Type
- journal article
- Language
- en
- Open access
- green
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