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Clustering and merging for real-time forest rendering

Computer Aided Drafting,Design and Manufacturing 2016年第1期26卷 1-6页

作者： Ouyang Taoxu Lai Shunnan Li Sheng Peking University Shenzhen Graduate School Shenzhen 518055China School of EECS Peking UniversityBeijing 100871China Beijing Engineering Technology Research Center of Virtual Simulation and Visualization(Peking University) Beijing 100871China. Peking University Information Technology Institute(Tianjin Binhai) Tianjin 300452China.

Rendering of large-scale forest scenes is a challenging task, whose highly geometric complexity will put heavy burden on current graphics hardware. When navigating the scene, the overall visual result is generally considered as the core concern. A new method is proposed in this paper for large-scale forest rendering using clustering and merging strategies. Our method improves the rendering effect by clustering polygons according to the point information with relation to neighbours. A fast forest rendering system is developed accordingly. The relative techniques in the system can improve the visual quality on demand of different applications.

关键词： cluster analysis polygon merging texture merging large-scale rendering

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Efficient unsteady flow visualization with high-order access dependencies

Efficient unsteady flow visualization with high-order access...

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Pacific (formerly Asia-Pacific APVIS) visualization Symposium

作者： Jiang Zhang Hanqi Guo Xiaoru Yuan Key Laboratory of Machine Perception (Ministry of Education) Peking University Mathematics and Computer Science Division Argonne National Laboratory Beijing Engineering Technology Research Center of Virtual Simulation and Visualization Peking University

ISBN: (纸本)9781509014521

We present a novel high-order access dependencies-based model for efficient pathline computation in unsteady flow visualization. By taking longer access sequences into account to model more sophisticated data access patterns in particle tracing, our method greatly improves the accuracy and reliability in data access prediction. In our work, high-order access dependencies are calculated by tracing uniformly seeded pathlines in both forward and backward directions in a preprocessing stage. The effectiveness of our approach is demonstrated through a parallel particle tracing framework with high-order data prefetching. Results show that our method achieves higher data locality and hence improves the efficiency of pathline computation.

关键词： Data visualization Prefetching Markov processes Data models Computational modeling Mathematical model Reliability

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The automatic height extraction of buildings from shadow region

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Computer Aided Drafting,Design and Manufacturing 2016年第1期26卷 7-14页

作者： Jiang Min Lai Shunnan Li Sheng Peking University Shenzhen Graduate School Shenzhen 518055China School of EECS Peking UniversityBeijing 100871China Beijing Engineering Technology Research Center of Virtual Simulation and Visualization Peking UniversityBeijing 100871China. Peking University Information Technology Institute(Tianjin Binhai) Tianjin 300452China.

Height extraction for buildings is a fundamental step of 3D scene reconstruction in many virtual reality applications. In this paper, we propose an automatic method to extract the height of buildings in high resolution satellite imagery based on the length of shadow. Taking into account the limitation of traditional algorithms, we make use of the boundary information of a building to facilitate detecting and matching the shadow regions with higher accuracy. Then, we introduce a shadow-cast model to correct the shadow location in our system. The experimental result shows that when extracting the height of buildings from complex urban regions, our method has better accuracy.

关键词： shadow detection region matching boundary extraction height inference

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FluidPlaying: Efficient Adaptive simulation for Highly Dynamic Fluid

FluidPlaying: Efficient Adaptive Simulation for Highly Dynam...

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virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), IEEE Conference on

作者： Sinuo Liu Xiaojuan Ban Sheng Li Haokai Zeng Xiaokun Wang Yanrui Xu Fei Zhu Guoping Wang Graphics & Interaction Lab National Biomedical Imaging Center School of Computer Science Peking University School of Intelligence Science and Technology University of Science and Technology Beijing Beijing Engineering Technology Research Center of Virtual Simulation and Visualization Peking University Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)

We present FliudPlaying, a novel dynamic level-based spatially adaptive simulation method that can handle highly dynamic fluid efficiently. To capture the subtle detail of the fluid surface, the high-resolution simulation is performed not only at the free surface but also at those regions with high vorticity levels and velocity difference levels. To minimize the density error, an online optimization scheme is used when increasing the resolution by particle splitting. We also proposed a neighbor-based splash enhancement to compensate for the loss of dynamic details. Compared with the high-resolution simulation baseline, our method can achieve over 3× speedups while consuming only less than 10% computational resources. Furthermore, our method can make up for the loss of high-frequency details caused by the spatial adaptation, and provide more realistic dynamics in particle-based fluid simulation.

关键词： Solid modeling Adaptation models Three-dimensional displays Fluid dynamics Computational modeling Conferences virtual reality

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ADVISor: Automatic visualization Answer for Natural-Language Question on Tabular Data

ADVISor: Automatic Visualization Answer for Natural-Language...

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Pacific (formerly Asia-Pacific APVIS) visualization Symposium

作者： Can Liu Yun Han Ruike Jiang Xiaoru Yuan Key Laboratory of Machine Perception (Ministry of Education) and School of EECS Peking University Beijing China National Engineering Laboratory for Big Data Analysis and Application Peking University Beijing China Beijing Engineering Technology Research Center of Virtual Simulation and Visualization Peking University Beijing China

We propose an automatic pipeline to generate visualization with annotations to answer natural-language questions raised by the public on tabular data. With a pre-trained language representation model, the input natural language questions and table headers are first encoded into vectors. According to these vectors, a multi-task end-to-end deep neural network extracts related data areas and corresponding aggregation type. We present the result with carefully designed visualization and annotations for different attribute types and tasks. We conducted a comparison experiment with state-of-the-art works and the best commercial tools. The results show that our method outperforms those works with higher accuracy and more effective visualization.

关键词： Annotations Natural languages Pipelines Neural networks Data visualization Tools Data mining

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Behavior analysis through collaborative visual exploration on trajectory data

Behavior analysis through collaborative visual exploration o...

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IEEE Symposium on Visual Analytics Science and technology (VAST)

作者： Tangzhi Ye Youfeng Hao Zhenhuang Wang Chufan Lai Siming Chen Zongru Li Jie Liang Xiaoru Yuan Key Laboratory of Machine Perception (Ministry of Education) Peking University Key Laboratory of Machine Perception (Ministry of Education) and School of EECS Peking University China Beijing Engineering Technology Research Center of Virtual Simulation and Visualization Peking University

In VAST Challenge 2015, we proposed a collaborative visual exploration system for behavior analysis over trajectory records. We discuss technical details in this report, in order to deliberate how the system supports multiple users to collaboratively analyze the same data, assist in sharing their findings, and constructing an overall picture of their insights.

关键词： Trajectory Collaboration Data visualization Visual analytics Logic gates Electronic mail

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Visual Analysis for Wildlife Preserve based on Muti-systems

Visual Analysis for Wildlife Preserve based on Muti-systems

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IEEE Symposium on Visual Analytics Science and technology (VAST)

作者： Lijing Lin Min Lu Guozheng Li Shuai Chen Chufan Lai Ruike Jiang Qiangqiang Liu Xiaoru Yuan Key Laboratory of Machine Perception (Ministry of Education) and School of EECS Peking University Key Laboratory of Machine Perception (Ministry of Education) and School of EECS Peking University Beijing Beijing CN Beijing Engineering Technology Research Center of Virtual Simulation and Visualization Peking University

In the Grand Challenge of IEEE VAST Challenge 2017, we explore the systems in each mini-challenge, and combine the discoveries logically to provide a comprehensive story happened in the wildlife preserve. In this report, we present technical details for the systems, in order to discuss how to discover the events, and how to combine them to construct an overall picture considering the additional information, newsletter, in the Grand Challenge.

关键词： Trajectory Production facilities Chemicals Visual analytics Chemical sensors Sensors

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可持续发展情景下丝绸之路沿线国家土地利用及其对陆地碳库影响

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Science Bulletin 2023年第7期68卷 740-749页

作者：曹敏田雅吴凯陈旻陈玉胡雪孙中昶左丽君林键骆磊朱瑞许振赐 Temenoujka Bandrova Milan Konecny 袁文平郭华东林珲闾国年 Key Laboratory of Virtual Geographic Environment Ministry of EducationNanjing Normal UniversityNanjing 210023China International Research Center of Big Data for Sustainable Development Goals Beijing 100094China Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing 210023China School of Geography and Environment Jiangxi Normal UniversityNanchang 330022China Aerospace Information Research Institute Chinese Academy of SciencesBeijing 100094China The Key Laboratory of Urban Land Resources Monitoring and Simulation Ministry of Natural ResourcesShenzhen 518034China Sierra Nevada Research Institute University of CaliforniaMerced CA 95348USA Institute of High Performance Computing Agency for ScienceTechnology and ResearchSingapore 138632Singapore Department of Geography the University of Hong KongHong Kong 999077China Laboratory on Cartography University of ArchitectureCivil Engineering and GeodesySofia 1164Bulgaria Laboratory on Geoinformatics and Cartography Institute of GeographyMasaryk UniversityBrno 60177Czech Republic School of Atmospheric Sciences Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)Sun Yat-sen UniversityZhuhai 519082China Key Laboratory of Poyang Lake Wetland and Watershed Research Ministry of EducationJiangxi Normal UniversityNanchang 330022China

可持续发展目标(SDGs)呼吁全世界共同采取行动,促进繁荣并保护地球.本研究面向SDGs构建了环境、粮食和经济等可持续发展情景,预测2020~2030年丝绸之路沿线国家的土地利用变化,并分析其对陆地碳库的影响。研究表明:未来土地利用变化及其... 详细信息

可持续发展目标(SDGs)呼吁全世界共同采取行动,促进繁荣并保护地球.本研究面向SDGs构建了环境、粮食和经济等可持续发展情景,预测2020~2030年丝绸之路沿线国家的土地利用变化,并分析其对陆地碳库的影响。研究表明:未来土地利用变化及其对陆地碳库的影响在不同情景下存在显著差异。在可持续环境情景下,林地得到了有效保护,相较于2020年中国林地碳储量增加了约0.60%;在可持续粮食情景下,耕地流失得到了缓解,尤其在南亚及东南亚地区的耕地面积呈现上升趋势:在可持续经济情景下,城市扩张速度加快,引起的碳损失量最多这项研究有助于推进丝绸之路沿线甚至全球可持续发展进程,为探寻可持续发展路径提供了科学依据。

关键词： Sustainable development goals(SDGs) Land-use projection Carbon pool Scenarios System dynamics model Cellular automata

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Corrigendum to “Closed loop geometry based optimization by integrating subdivision, reanalysis and metaheuristic searching techniques” [Comput. Struct. 182 (2017) 459–474]

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Computers & Structures 2017年 187卷 122-122页

作者： Guanxin Huang Hu Wang Guoping Wang Guangyao Li Congyi Zhang State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan University China Joint Center for Intelligent New Energy Vehicle China Graphics & Interaction Laboratory EECS Department Peking University China Beijing Engineering Technology Center of Virtual Simulation and Visualization China

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