Large-scale forest rendering: Real-time, realistic, and progressive
Bao, Guanbo; Li, Hongjun; Zhang, Xiaopeng; Dong, Weiming
发表期刊COMPUTERS & GRAPHICS-UK
2012-05-01
卷号36期号:3页码:140-151
文章类型Article
摘要Real-time rendering of large-scale forest landscape scenes is important in many applications, such as video games, Internet graphics, and landscape and cityscape scene design and visualization. One challenge in the field of virtual reality is transferring a large-scale forest environment containing plant models with rich geometric detail through the network and rendering them in real time. We present a new framework for rendering large-scale forest scenes realistically and quickly that integrates extracting level of detail (LOD) tree models, rendering real-time shadows for large-scale forests, and transmitting forest data for network applications. We construct a series of LOD tree models to compress the overall complexity of the forest in view-dependent forest navigation. A new leaf phyllotaxy LOD modeling method is presented to match leaf models with textures, balancing the visual effect and model complexity. To progressively render the scene from coarse to fine, sequences of LOD models are transferred from simple to complex. The forest can be rendered after obtaining a simple model of each tree, allowing users to quickly see a sketch of the scene. To improve client performance, we also adopt a LOD strategy for shadow maps. Smoothing filters are implemented entirely on the graphics processing unit (CPU) to reduce the shadows' aliasing artifacts, which creates a soft shadowing effect. We also present a hardware instancing method to render more levels of LOD models, which overcomes the limitation of the latest CPU that emits primitives into only a limited number of separate vertex streams. Experiments show that large-scale forest scenes can be rendered with smooth shadows and in real time. (C) 2012 Elsevier Ltd. All rights reserved.
关键词Real-time Rendering Level Of Details Shadow Mapping Gpu Forest Trees
WOS标题词Science & Technology ; Technology
收录类别SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Software Engineering
WOS记录号WOS:000303221000003
引用统计
被引频次:15[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/2833
专题多模态人工智能系统全国重点实验室_多媒体计算
作者单位Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, 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
Bao, Guanbo,Li, Hongjun,Zhang, Xiaopeng,et al. Large-scale forest rendering: Real-time, realistic, and progressive[J]. COMPUTERS & GRAPHICS-UK,2012,36(3):140-151.
APA Bao, Guanbo,Li, Hongjun,Zhang, Xiaopeng,&Dong, Weiming.(2012).Large-scale forest rendering: Real-time, realistic, and progressive.COMPUTERS & GRAPHICS-UK,36(3),140-151.
MLA Bao, Guanbo,et al."Large-scale forest rendering: Real-time, realistic, and progressive".COMPUTERS & GRAPHICS-UK 36.3(2012):140-151.
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