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2017 IEEE Conference on Visual Analytics Science and technology, VAST 2017

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

ISBN: (纸本)9781538631638

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. © 2017 IEEE.

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

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Real-time rendering of large-scale static scene

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Computer Aided Drafting,Design and Manufacturing 2017年第2期27卷 1-6页

作者： Wang Shaohua Li Sheng Lai Shunnan Beijing Engineering Technology Research Center of Virtual Simulation and Visualization Peking University School of Electronics Engineering and Computer Science Peking University

In virtual simulation application, it is often necessary to use Open GL to render large-scale 3D static scenes including urban architectures. Each scene unit generally has individual vertex data and texture. For large-scale data set, it is hard to render all scene units simultaneously. We need to render part of the scene separately, which is called the scene partition and culling. In general, we partition the whole scene into different units on the CPU. We present a scheme that optimize the GPU rendering pipeline to cull the large-scale static scene, which will reduce the CPU suspending time and take full advantage of GPU computing advantages to speed up the rendering efficiency.

关键词： large-scale GPU culling real-time

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Classroom Attendance Auto-management Based on Deep Learning

Classroom Attendance Auto-management Based on Deep Learning

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2017 2nd International Conference on Education,Sports,Arts and Management engineering(ICESAME 2017)

作者： Dan Wang Rong Fu Zuying Luo College of Information Science and Technology Beijing Normal University Research Center of Virtual Reality and Visualization Technology and Engineering Beijing Normal University

Attendance is an important part of daily classroom evaluation. This paper develops an automatic attendance system by integrating two deep learning algorithm Faster R-CNN face detection algorithm and Seeta Face face recognition algorithm. The results of numerous experiments indict that:(1) the system can record such five violations of classroom, that is absence, later arrival, early departure, free access, and carelessness for attendance, and give the attendance table which can reflect the learning situation of all students after school.(2) For small classrooms with length of less than 6 meters, 1080P classroom monitoring video can meet the needs of classroom attendance;but for 9 meters of big classrooms, you should use 4 K classroom surveillance video.

关键词： classroom evaluations attendance face detection face recognition

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Automatic Evaluation of Teacher-Student Interaction Based on Dialogue Text

Automatic Evaluation of Teacher-Student Interaction Based on...

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2017 2nd International Conference on Education,Sports,Arts and Management engineering(ICESAME 2017)

作者： Jiao Lu Dan Wang Zuying Luo College of Information Science and Technology Beijing Normal University Research Center of Virtual Reality and Visualization Technology and Engineering Beijing Normal University

Quantitative evaluation in class can effectively improve the quality of classroom teaching, but the automatic evaluation tool is very scarce. In order to be able to carry out large-scale automatic evaluation of teacher-student interaction, this paper first designed a set of indicator system for the classroom interactive evaluation;and then input teacher and student dialogue text from the classroom teaching video;and asked two education evaluation professionals to evaluate the interaction between teachers and students on the same lesson according to the video and text respectively to observe the validity of the interactive evaluation of teachers and students based on the dialogue text. This paper then presented a teacher-student interactive automatic coding technique(SAC) based on dialogue sentences, and constructed a set of classroom-teaching automatic evaluation system(BIAS) for teacher-student interaction. The experimental results show that BIAS not only provides more interactive evaluation function of teachers and students, but also improves the educational evaluation personnel's coding efficiency by 7.3 times compared with the Flanders coding system(FIAS), which is manually coded.

关键词： classroom observation teacher-student interaction text analysis classroom-teaching automatic evaluation

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An efficient spatial anti-aliasing method for deferred shading

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Computer Aided Drafting,Design and Manufacturing 2017年第2期27卷 57-63页

作者： Ye Chengchun Lai Shunnan Li Sheng Peking University Shenzhen Graduate School Beijing Engineering Technology Research Center of Virtual Simulation and Visualization (Peking University) School of Electronics Engineering and Computer Science Peking University Peking University Information Technology Institute (Tianjin Binhai)

In recent years, image-based anti-aliasing techniques have been widely investigated in real-time computer graphics. Compared to traditional routine of anti-aliasing, image-based methods, which combined with deferred shading, can efficiently decouple anti-aliasing step from standard graphics pipeline. However, most of the existing image-based methods consume video memory, bandwidth and computation resources heavily. In this paper, we propose an optimized anti-aliasing method, which can efficiently reduce the multi-sampling rate by a multi-sampling mask. We carefully designed the rendering system to avoid serial execution on branch divergence, by utilizing both modern GPU’s features and latest shader model. Experimental results demonstrate that our method can achieve high-quality synthesized image with real-time performance.

关键词： anti-aliasing deferred shading compute shader execution divergence

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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

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

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Road network extraction from high resolution satellite images

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Computer Aided Drafting,Design and Manufacturing 2016年第2期26卷 1-7页

作者： Li Gang Lai Shunnan Li Sheng Peking University Shenzhen Graduate School Shenzhen 518055 China School of Electronics Engineering and Computer Science Peking University Beijing 100871 China Beijing Engineering Technology Research Center of Virtual Simulation and Visualization Beijing 100871 China

In this paper, an approach of roads network extraction from high resolution satellite images is presented. First, the approach extracts road surface from satellite image using one-class support vector machine （SVM）. Second, the road topology is built from the road surface. The last output of the approach is a series of road segments which is represented by a sequence of points as well as the topological relations among them. The approach includes four steps. In the first step one-class support vector machine is used for classifying pixel of the satellite images to road class or non-road class. In the second step filling holes and connecting gaps for the SVM＇s classification result is applied through mathematical morphology close operation. In the third step the road segment is extracted by a series of operations which include skeletonization, thin, branch pruning and road segmentation. In the last step a geometrical adjustment process is applied through analyzing the road segment curvature. The experiment results demonstrate its robustness and viability on extracting road network from high resolution satellite images.

关键词： road extraction topology mathematical morphology skeletonization support vector machine

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Clustering and merging for real-time forest rendering

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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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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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Comparative visualization of vector field ensembles based on longest common subsequence

Comparative visualization of vector field ensembles based on...

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Pacific (formerly Asia-Pacific APVIS) visualization Symposium

作者： Richen Liu Hanqi Guo Jiang Zhang 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

We propose a longest common subsequence (LCSS)-based approach to compute the distance among vector field ensembles. By measuring how many common blocks the ensemble pathlines pass through, the LCSS distance defines the similarity among vector field ensembles by counting the number of shared domain data blocks. Compared with traditional methods (e.g., pointwise Euclidean distance or dynamic time warping distance), the proposed approach is robust to outliers, missing data, and the sampling rate of the pathline timesteps. Taking advantage of smaller and reusable intermediate output, visualization based on the proposed LCSS approach reveals temporal trends in the data at low storage cost and avoids tracing pathlines repeatedly. We evaluate our method on both synthetic data and simulation data, demonstrating the robustness of the proposed approach.

关键词： Data models Data visualization Time series analysis Uncertainty Computational modeling Shape Measurement

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