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
2017-12-01
发表期刊COMPUTER GRAPHICS FORUM
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
DOI10.1111/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
专题模式识别国家重点实验室_多媒体计算与图形学
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
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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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