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《Journal of Graphics》 2015-04
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High Identification 3D Human Body Model Reconstruction Method Based on the Depth Scanner

Han Kai;Pang Zongqiang;Wang Long;Yue Dong;Institute of Advanced Technology, Nanjing University of Posts and Telecommunications;  
The printing quality of 3D portrait in 3D printing photographic house, depend on the 3D scan of the three dimensional human body model identification. However, the traditional 3D body scanner is expensive, complicated manipulation and other reasons, 3D portraits of high printing costs, time-consuming and less accurate printing. In view of these shortcomings a method is proposed based on the deep scanner reconstruct the high degree of recognition three-dimensional human body model. The method combines with the advantages of three groups of different types of the depth scanner, collaboration, respectively to obtain high precision characters facial features and hair detail point cloud data, upper body and the body surface contour point cloud data. Then, the captured three sets of point cloud data will be aligned, replaced, registered by introducing feature points and iterated closest point. The registered of non-topological relations of point cloud data for surface reconstruction can get high precision of 3D human body model. The method of scanning time is shorter, at a relatively low cost to build the 3D portrait with high identification model.
【CateGory Index】: TP391.41
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