Engineering Research Center for Virtual Reality Applications

MOE, China

Engineering Research Center for Virtual Reality Applications

MOE, China
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Zhou Y.,Beijing Normal University | Zhou Y.,Engineering Research Center for Virtual Reality Applications | Zhou M.,Beijing Normal University | Zhou M.,Engineering Research Center for Virtual Reality Applications | And 4 more authors.
Xitong Fangzhen Xuebao / Journal of System Simulation | Year: 2016

With the advent of big data era, knowledge graph and data visualization technology present the data in a structured, visual way and establish a keyword-oriented knowledge system and render the relationship in a fast and clearly way. In this paper, a historical figures entity relationship visualization system has been established by means of data visualization and knowledge graph. In the system, the complex data are divided into character data and event data by data preprocessing. In the parsing stage, a label traversing method and a method based on weight of links are applied to the divided data respectively. With the layered B/S structure design, the system is based on the Nodejs platform in which a historical figures database is founded. The users can obtain the knowledge graphs of relevant historical figures and events according to distinct needs. This system provides a variety of interactive with good scalability and maintainability and makes contributions to comprehension and exploration of the data and relationship quickly by presenting the data in visual forms. To some extent, it owes reference value to research staff as well. © 2016, The Editorial Board of Journal of System Simulation. All right reserved.


Yu W.,Beijing Normal University | Yu W.,Engineering Research Center for Virtual Reality Applications | Zhou M.,Beijing Normal University | Zhou M.,Engineering Research Center for Virtual Reality Applications | And 4 more authors.
Xitong Fangzhen Xuebao / Journal of System Simulation | Year: 2015

Due to the acquisition range constriction of three-dimensional, a scanner could only obtain a single perspective of the deep image achieving the 3-D modeling from researching the registration of deep image. Currently, most of the existing commercial software requires manual label to achieve the registration of deep image. In order to improve this problem, an automatic registration method based on the constriction of curvature was proposed. At the beginning of registration, the method 4-Points Congruent Sets for Robust Surface Registration (4PCS) was used to achieve the initial and automatic registration. In the phase of accurate registration, ICP and linear least-square optimization method was used to get 3-D model's Rigid transformation matrix. In order to eliminate the iterative process of mismatch problem, the curvature as a constraint was taken to improve the accuracy of point cloud registration. Experiment indicates that after the removal of false match points according to the constraint of curvature, the registration accuracy of the model is increased and perfect. © 2015, The Editorial Board of Journal of System Simulation. All right reserved.


Guo D.,Beijing Normal University | Guo D.,Engineering Research Center for Virtual Reality Applications | Zhou M.-Q.,Beijing Normal University | Zhou M.-Q.,Engineering Research Center for Virtual Reality Applications | And 6 more authors.
Xitong Fangzhen Xuebao / Journal of System Simulation | Year: 2014

3D model blemishes simulation has always been a hot issue in the research of photorealistic rendering. In order to enhance the scene of reality in natural environment, a method to simulate the appearances of the 3D models with blemishes was proposed. One or more blemishes source points was selected based on how to use three-dimensional models, and where to use them, as well as their geometry information; the distance from each blemishes source to other vertexes on the model surface was calculated. Making the geodesic distance as diffusion factor, a threshold was determined to a threshold based on the material and using environmental of three-dimensional models to obtain defects region. Multiple blemishes sources' influence was made up and the flawed appearance of the models was rendered based on the threshold. The method has been applied to has been applied more 3D models, which is more practical, simpler and has a stronger sense of reality.

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