Abstract
Virtual reality scenes three-dimensional modeling usually is constructed on the basis of learning with virtual data, and learning behavior is too dependent on virtual data.It is difficult to quickly and accurately reflect characteristics of 3D modeling in virtual reality, and learning complexity is higher. In this paper, a method of virtual reality scenes three-dimensional modeling based on semantic was presented on the basis of analysis of the virtual scenes modeling methods. The modeling system architecture using the method is divided into physical model libraries, three-dimensional model semantic knowledge base, semantic-based visual modeling and scene graph automatically generation modules. The experimental results show that the detection performance is better than the results of the three-dimensional modeling based on virtual data, and the system increases flexibility and usability of the three-dimensional modeling,
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