Knowledge Commons of Institute of Automation,CAS
Tree Branch Level of Detail Models for Forest Navigation | |
Zhang, Xiaopeng1; Bao, Guanbo1; Meng, Weiliang1; Jaeger, Marc2,3; Li, Hongjun1,4; Deussen, Oliver5,6; Chen, Baoquan7 | |
发表期刊 | COMPUTER GRAPHICS FORUM |
2017-12-01 | |
卷号 | 36期号:8页码:402-417 |
文章类型 | Article |
摘要 | We present a level of detail (LOD) method designed for tree branches. It can be combined with methods for processing tree foliage to facilitate navigation through large virtual forests. Starting from a skeletal representation of a tree, we fit polygon meshes of various densities to the skeleton while the mesh density is adjusted according to the required visual fidelity. For distant models, these branch meshes are gradually replaced with semi-transparent lines until the tree recedes to a few lines. Construction of these complete LOD models is guided by error metrics to ensure smooth transitions between adjacent LOD models. We then present an instancing technique for discrete LOD branch models, consisting of polygon meshes plus semi-transparent lines. Line models with different transparencies are instanced on the GPU by merging multiple tree samples into a single model. Our technique reduces the number of draw calls in GPU and increases rendering performance. Our experiments demonstrate that large-scale forest scenes can be rendered with excellent detail and shadows in real time. |
关键词 | Level Of Detail Virtual Forests Real Time Branch Models Simplification i 3 3 [Computer Graphics]: Picture Image Generationline And Curve Generation |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1111/cgf.13088 |
关键词[WOS] | REAL-TIME ; LANDSCAPES |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | National Natural Science Foundation of China(61331018 ; National High Technology Research and Development Program of China(2015AA016402) ; National Foreign 1000 Talent Plan(WQ201344000169) ; Leading Talents of Guangdong Program(00201509) ; 61571439 ; 61571400 ; 61561003) |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Software Engineering |
WOS记录号 | WOS:000417496200028 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/21922 |
专题 | 多模态人工智能系统全国重点实验室_三维可视计算 |
作者单位 | 1.Chinese Acad Sci, NLPR LIAMA, Inst Automat, Beijing, Peoples R China 2.Cirad, AMAP, Montpellier, France 3.Montpellier Univ, LIRMM ICAR, Montpellier, France 4.Beijing Forestry Univ, Beijing, Peoples R China 5.Chinese Acad Sci, VCC, Shenzhen Inst Adv Technol, Shenzhen, Peoples R China 6.Univ Konstanz, Constance, Germany 7.Shandong Univ, Jinan, Shandong, Peoples R China |
第一作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Zhang, Xiaopeng,Bao, Guanbo,Meng, Weiliang,et al. Tree Branch Level of Detail Models for Forest Navigation[J]. COMPUTER GRAPHICS FORUM,2017,36(8):402-417. |
APA | Zhang, Xiaopeng.,Bao, Guanbo.,Meng, Weiliang.,Jaeger, Marc.,Li, Hongjun.,...&Chen, Baoquan.(2017).Tree Branch Level of Detail Models for Forest Navigation.COMPUTER GRAPHICS FORUM,36(8),402-417. |
MLA | Zhang, Xiaopeng,et al."Tree Branch Level of Detail Models for Forest Navigation".COMPUTER GRAPHICS FORUM 36.8(2017):402-417. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Tree Branch Level of(28796KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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