gpu生成的“参数化”树

Amit Shesh
{"title":"gpu生成的“参数化”树","authors":"Amit Shesh","doi":"10.1145/1925059.1925083","DOIUrl":null,"url":null,"abstract":"Incorporating different-looking trees in a single graphics application involves either loading numerous polygonal/point models, or generating them algorithmically. In any case, this increases the demand of rendering resources both in terms of computing power and memory to hold all models simultaneously. This paper presents a novel method that produces different-looking trees from a common domain starting from the same polygonal model. Since the shape of the canopy decides the appearance of large trees, we focus on generating canopies automatically from the same polygonal model and some parameters. Thus the generated canopies can be thought of as functions of a parameterized domain. A branch structure created separately then completes the tree model. Using this method, a program can maintain a single copy of the polygonal model, and create different tree models from it by merely changing these parameters. Our method can be efficiently implemented on a GPU, thereby allowing us to store only a few models directly in GPU memory and creating different-looking tree models from them at runtime.","PeriodicalId":235681,"journal":{"name":"Spring conference on Computer graphics","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"GPU-generated \\\"parameterized\\\" trees\",\"authors\":\"Amit Shesh\",\"doi\":\"10.1145/1925059.1925083\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Incorporating different-looking trees in a single graphics application involves either loading numerous polygonal/point models, or generating them algorithmically. In any case, this increases the demand of rendering resources both in terms of computing power and memory to hold all models simultaneously. This paper presents a novel method that produces different-looking trees from a common domain starting from the same polygonal model. Since the shape of the canopy decides the appearance of large trees, we focus on generating canopies automatically from the same polygonal model and some parameters. Thus the generated canopies can be thought of as functions of a parameterized domain. A branch structure created separately then completes the tree model. Using this method, a program can maintain a single copy of the polygonal model, and create different tree models from it by merely changing these parameters. Our method can be efficiently implemented on a GPU, thereby allowing us to store only a few models directly in GPU memory and creating different-looking tree models from them at runtime.\",\"PeriodicalId\":235681,\"journal\":{\"name\":\"Spring conference on Computer graphics\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Spring conference on Computer graphics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1925059.1925083\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Spring conference on Computer graphics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1925059.1925083","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

在单个图形应用程序中合并不同外观的树需要加载大量多边形/点模型,或者通过算法生成它们。在任何情况下,这都增加了同时保存所有模型的计算能力和内存方面的渲染资源需求。本文提出了一种从同一多边形模型出发,在同一域内生成不同外观树的新方法。由于树冠的形状决定了大树的外观,我们专注于从相同的多边形模型和一些参数自动生成树冠。因此,生成的冠层可以被认为是参数化域的函数。然后单独创建一个分支结构,完成树模型。使用这种方法,程序可以维护多边形模型的单一副本,并通过更改这些参数来创建不同的树模型。我们的方法可以有效地在GPU上实现,从而允许我们只将几个模型直接存储在GPU内存中,并在运行时从它们创建不同外观的树模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
GPU-generated "parameterized" trees
Incorporating different-looking trees in a single graphics application involves either loading numerous polygonal/point models, or generating them algorithmically. In any case, this increases the demand of rendering resources both in terms of computing power and memory to hold all models simultaneously. This paper presents a novel method that produces different-looking trees from a common domain starting from the same polygonal model. Since the shape of the canopy decides the appearance of large trees, we focus on generating canopies automatically from the same polygonal model and some parameters. Thus the generated canopies can be thought of as functions of a parameterized domain. A branch structure created separately then completes the tree model. Using this method, a program can maintain a single copy of the polygonal model, and create different tree models from it by merely changing these parameters. Our method can be efficiently implemented on a GPU, thereby allowing us to store only a few models directly in GPU memory and creating different-looking tree models from them at runtime.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Smoothing in 3D with reference points and polynomials Green's function solution to subsurface light transport for BRDF computation Doppler-based 3D Blood Flow Imaging and Visualization Parallel MDOM for light transport in participating media Dynamic Texture Enlargement
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1