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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. Source


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. Source

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