Geometry images. Gu, X., Gortler, S., J., & Hoppe, H. In Proceedings of the 29th annual conference on Computer graphics and interactive techniques, of SIGGRAPH '02, pages 355-361, 7, 2002. Association for Computing Machinery. ![Geometry images [link]](https://bibbase.org/img/filetypes/link.svg "link")
Website doi abstract bibtex Surface geometry is often modeled with irregular triangle meshes. The process of remeshing refers to approximating such geometry using a mesh with (semi)-regular connectivity, which has advantages for many graphics applications. However, current techniques for remeshing arbitrary surfaces create only semi-regular meshes. The original mesh is typically decomposed into a set of disk-like charts, onto which the geometry is parametrized and sampled. In this paper, we propose to remesh an arbitrary surface onto a completely regular structure we call a geometry image. It captures geometry as a simple 2D array of quantized points. Surface signals like normals and colors are stored in similar 2D arrays using the same implicit surface parametrization --- texture coordinates are absent. To create a geometry image, we cut an arbitrary mesh along a network of edge paths, and parametrize the resulting single chart onto a square. Geometry images can be encoded using traditional image compression algorithms, such as wavelet-based coders.
@inproceedings{
title = {Geometry images},
type = {inproceedings},
year = {2002},
keywords = {remeshing,surface parametrization},
pages = {355-361},
websites = {https://doi.org/10.1145/566570.566589},
month = {7},
publisher = {Association for Computing Machinery},
city = {New York, NY, USA},
series = {SIGGRAPH '02},
id = {064071af-2c02-3f0f-9d45-60bac7e4c29e},
created = {2022-03-28T09:45:01.542Z},
accessed = {2022-03-27},
file_attached = {false},
profile_id = {235249c2-3ed4-314a-b309-b1ea0330f5d9},
group_id = {1ff583c0-be37-34fa-9c04-73c69437d354},
last_modified = {2022-03-28T09:45:01.542Z},
read = {false},
starred = {false},
authored = {false},
confirmed = {true},
hidden = {false},
citation_key = {guGeometryImages2002},
source_type = {inproceedings},
private_publication = {false},
abstract = {Surface geometry is often modeled with irregular triangle meshes. The process of remeshing refers to approximating such geometry using a mesh with (semi)-regular connectivity, which has advantages for many graphics applications. However, current techniques for remeshing arbitrary surfaces create only semi-regular meshes. The original mesh is typically decomposed into a set of disk-like charts, onto which the geometry is parametrized and sampled. In this paper, we propose to remesh an arbitrary surface onto a completely regular structure we call a geometry image. It captures geometry as a simple 2D array of quantized points. Surface signals like normals and colors are stored in similar 2D arrays using the same implicit surface parametrization --- texture coordinates are absent. To create a geometry image, we cut an arbitrary mesh along a network of edge paths, and parametrize the resulting single chart onto a square. Geometry images can be encoded using traditional image compression algorithms, such as wavelet-based coders.},
bibtype = {inproceedings},
author = {Gu, Xianfeng and Gortler, Steven J and Hoppe, Hugues},
doi = {10.1145/566570.566589},
booktitle = {Proceedings of the 29th annual conference on Computer graphics and interactive techniques}
}
Downloads: 0
{"_id":"QaE7nL5gedYKsLWi3","bibbaseid":"gu-gortler-hoppe-geometryimages-2002","downloads":0,"creationDate":"2018-01-22T16:01:05.095Z","title":"Geometry images","author_short":["Gu, X.","Gortler, S., J.","Hoppe, H."],"year":2002,"bibtype":"inproceedings","biburl":"https://bibbase.org/service/mendeley/bfbbf840-4c42-3914-a463-19024f50b30c","bibdata":{"title":"Geometry images","type":"inproceedings","year":"2002","keywords":"remeshing,surface parametrization","pages":"355-361","websites":"https://doi.org/10.1145/566570.566589","month":"7","publisher":"Association for Computing Machinery","city":"New York, NY, USA","series":"SIGGRAPH '02","id":"064071af-2c02-3f0f-9d45-60bac7e4c29e","created":"2022-03-28T09:45:01.542Z","accessed":"2022-03-27","file_attached":false,"profile_id":"235249c2-3ed4-314a-b309-b1ea0330f5d9","group_id":"1ff583c0-be37-34fa-9c04-73c69437d354","last_modified":"2022-03-28T09:45:01.542Z","read":false,"starred":false,"authored":false,"confirmed":"true","hidden":false,"citation_key":"guGeometryImages2002","source_type":"inproceedings","private_publication":false,"abstract":"Surface geometry is often modeled with irregular triangle meshes. The process of remeshing refers to approximating such geometry using a mesh with (semi)-regular connectivity, which has advantages for many graphics applications. However, current techniques for remeshing arbitrary surfaces create only semi-regular meshes. The original mesh is typically decomposed into a set of disk-like charts, onto which the geometry is parametrized and sampled. In this paper, we propose to remesh an arbitrary surface onto a completely regular structure we call a geometry image. It captures geometry as a simple 2D array of quantized points. Surface signals like normals and colors are stored in similar 2D arrays using the same implicit surface parametrization --- texture coordinates are absent. To create a geometry image, we cut an arbitrary mesh along a network of edge paths, and parametrize the resulting single chart onto a square. Geometry images can be encoded using traditional image compression algorithms, such as wavelet-based coders.","bibtype":"inproceedings","author":"Gu, Xianfeng and Gortler, Steven J and Hoppe, Hugues","doi":"10.1145/566570.566589","booktitle":"Proceedings of the 29th annual conference on Computer graphics and interactive techniques","bibtex":"@inproceedings{\n title = {Geometry images},\n type = {inproceedings},\n year = {2002},\n keywords = {remeshing,surface parametrization},\n pages = {355-361},\n websites = {https://doi.org/10.1145/566570.566589},\n month = {7},\n publisher = {Association for Computing Machinery},\n city = {New York, NY, USA},\n series = {SIGGRAPH '02},\n id = {064071af-2c02-3f0f-9d45-60bac7e4c29e},\n created = {2022-03-28T09:45:01.542Z},\n accessed = {2022-03-27},\n file_attached = {false},\n profile_id = {235249c2-3ed4-314a-b309-b1ea0330f5d9},\n group_id = {1ff583c0-be37-34fa-9c04-73c69437d354},\n last_modified = {2022-03-28T09:45:01.542Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {guGeometryImages2002},\n source_type = {inproceedings},\n private_publication = {false},\n abstract = {Surface geometry is often modeled with irregular triangle meshes. The process of remeshing refers to approximating such geometry using a mesh with (semi)-regular connectivity, which has advantages for many graphics applications. However, current techniques for remeshing arbitrary surfaces create only semi-regular meshes. The original mesh is typically decomposed into a set of disk-like charts, onto which the geometry is parametrized and sampled. In this paper, we propose to remesh an arbitrary surface onto a completely regular structure we call a geometry image. It captures geometry as a simple 2D array of quantized points. Surface signals like normals and colors are stored in similar 2D arrays using the same implicit surface parametrization --- texture coordinates are absent. To create a geometry image, we cut an arbitrary mesh along a network of edge paths, and parametrize the resulting single chart onto a square. Geometry images can be encoded using traditional image compression algorithms, such as wavelet-based coders.},\n bibtype = {inproceedings},\n author = {Gu, Xianfeng and Gortler, Steven J and Hoppe, Hugues},\n doi = {10.1145/566570.566589},\n booktitle = {Proceedings of the 29th annual conference on Computer graphics and interactive techniques}\n}","author_short":["Gu, X.","Gortler, S., J.","Hoppe, H."],"urls":{"Website":"https://doi.org/10.1145/566570.566589"},"biburl":"https://bibbase.org/service/mendeley/bfbbf840-4c42-3914-a463-19024f50b30c","bibbaseid":"gu-gortler-hoppe-geometryimages-2002","role":"author","keyword":["remeshing","surface parametrization"],"metadata":{"authorlinks":{}},"downloads":0},"search_terms":["geometry","images","gu","gortler","hoppe"],"keywords":["remeshing","surface parametrization"],"authorIDs":[],"dataSources":["9cexBw6hrwgyZphZZ","ya2CyA73rpZseyrZ8","2252seNhipfTmjEBQ"]}