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Geometry compression

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Michael DeeringAuthors Info & Claims

SIGGRAPH '95: Proceedings of the 22nd annual conference on Computer graphics and interactive techniques

Pages 13 - 20

https://doi.org/10.1145/218380.218391

Published: 15 September 1995 Publication History

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References

[1]

Cook, Robert, L. Carpenter, and E. Catmull. The Reyes Image Rendering Architecture. Proceedings of SIGGRAPH '87 (Anaheim, CA, July 27-31, 1987). In Computer Graphics 21, 4 (july 1987), 95-102.]]

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Danskin, John. Compressing the X Graphics Protocol, Ph.D. Thesis, Princeton University, 1994.]]

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Deering, Michael, S. Winner, B. Schediwy, C. Duffy and N. Hunt. The Triangle Processor and Normal Vector Shader: A VLSI system for High Performance Graphics. Proceedings of SIGGRAPH '88 (Atlanta, GA, Aug 1-5, 1988). In Computer Graphics 22, 4 (July 1988), 21-30.]]

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Deering, Michael, and S. Nelson. Leo: A System for Cost Effective Shaded 3D Graphics. Proceedings of SIGGRAPH '93 (Anaheim, California, August 1-6, 1993). In Computer Graphics (August 1993), 101-108.]]

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Durkin, James, and J. Hughes. Nonpolygonal Isosulface Rendering for Large Volume Datasets. Proceedings of Visualization '94, IEEE, 293-300.]]

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Foley, James, A. van Dam, S. Feiner and J Hughes. Computer Graphics: Principles and Practice, 2nd ed., Addison-Wesley, 1990.]]

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Pennebaker, William, and J. Mitchell. JPEG Still Image Compression Standard, Van Nostrand Reinhold, 1993.]]

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Cited By

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Sui LZhang PXiao ZZhou N(2024)Separable Reversible Data Hiding for Encrypted 3D Meshes Based on Self-Organized Blocking and Most Significant Bit PredictionSymmetry10.3390/sym1608105916:8(1059)Online publication date: 16-Aug-2024
https://doi.org/10.3390/sym16081059
Barczak JBenthin CMcAllister D(2024)DGF: A Dense, Hardware-Friendly Geometry Format for Lossily Compressing Meshlets with Arbitrary TopologiesProceedings of the ACM on Computer Graphics and Interactive Techniques10.1145/36753837:3(1-17)Online publication date: 9-Aug-2024
https://doi.org/10.1145/3675383
Mlakar DSteinberger MSchmalstieg D(2024)End‐to‐End Compressed Meshlet RenderingComputer Graphics Forum10.1111/cgf.1500243:1Online publication date: 24-Jan-2024
https://doi.org/10.1111/cgf.15002
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Index Terms

Geometry compression
1. Applied computing
  1. Physical sciences and engineering
    1. Engineering
2. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition
        3D imaging
  2. Computer graphics

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Published In

SIGGRAPH '95: Proceedings of the 22nd annual conference on Computer graphics and interactive techniques

September 1995

520 pages

ISBN:0897917014

DOI:10.1145/218380

Editors:
Susan G. Mair
Univ. of British Columbia, Vancouver, Canada
,
Robert Cook

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 September 1995

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SIGGRAPH95: 22nd International ACM Conference on Computer Graphics and Interactive Techniques

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SIGGRAPH '95 Paper Acceptance Rate 56 of 257 submissions, 22%;

Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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Sui LZhang PXiao ZZhou N(2024)Separable Reversible Data Hiding for Encrypted 3D Meshes Based on Self-Organized Blocking and Most Significant Bit PredictionSymmetry10.3390/sym1608105916:8(1059)Online publication date: 16-Aug-2024
https://doi.org/10.3390/sym16081059
Barczak JBenthin CMcAllister D(2024)DGF: A Dense, Hardware-Friendly Geometry Format for Lossily Compressing Meshlets with Arbitrary TopologiesProceedings of the ACM on Computer Graphics and Interactive Techniques10.1145/36753837:3(1-17)Online publication date: 9-Aug-2024
https://doi.org/10.1145/3675383
Mlakar DSteinberger MSchmalstieg D(2024)End‐to‐End Compressed Meshlet RenderingComputer Graphics Forum10.1111/cgf.1500243:1Online publication date: 24-Jan-2024
https://doi.org/10.1111/cgf.15002
Hou GOu BLong MPeng F(2024)Separable Reversible Data Hiding for Encrypted 3D Mesh Models Based on Octree Subdivision and Multi-MSB PredictionIEEE Transactions on Multimedia10.1109/TMM.2023.329557826(2395-2407)Online publication date: 2024
https://doi.org/10.1109/TMM.2023.3295578
Zhang ZWang XTong Y(2024)Angle-Based Representation of Triangulated Surfaces2024 2nd International Conference on Computer Graphics and Image Processing (CGIP)10.1109/CGIP62525.2024.00020(68-75)Online publication date: 12-Jan-2024
https://doi.org/10.1109/CGIP62525.2024.00020
Qu LLu HChen PAmirpour HTimmerer C(2024)Ring Co-XOR encryption based reversible data hiding for 3D mesh modelSignal Processing10.1016/j.sigpro.2023.109357217(109357)Online publication date: Apr-2024
https://doi.org/10.1016/j.sigpro.2023.109357
Zhang GCheng XYang FWang AZhang XLiu L(2024)High-capacity multi-MSB predictive reversible data hiding in encrypted domain for triangular mesh modelsJournal of Visual Communication and Image Representation10.1016/j.jvcir.2024.104246103(104246)Online publication date: Aug-2024
https://doi.org/10.1016/j.jvcir.2024.104246
Lin DZhao CTian QXu YWang RQu Z(2024)GMM-ICQ: A GMM vertex-optimization-based implicitly-connected quadrilateral format for 3D mesh storageComputers & Graphics10.1016/j.cag.2023.11.003118(34-47)Online publication date: Feb-2024
https://doi.org/10.1016/j.cag.2023.11.003
Gao YWang ZWen J(2023)A Method for Generating Geometric Image Sequences for Non-Isomorphic 3D-Mesh Sequence CompressionElectronics10.3390/electronics1216347312:16(3473)Online publication date: 16-Aug-2023
https://doi.org/10.3390/electronics12163473
Hoppe H(2023)Progressive MeshesSeminal Graphics Papers: Pushing the Boundaries, Volume 210.1145/3596711.3596725(111-120)Online publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1145/3596711.3596725
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3D Point Cloud Geometry Compression on Deep Learning

Vertex Data Compression through Vector Quantization

Lossless compression of VLSI layout image data

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3D Point Cloud Geometry Compression on Deep Learning

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Lossless compression of VLSI layout image data

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