Key Point Detection Method of 3D Network Model Based on Virtual Reality Technology

Abstract

In order to meet the higher requirements of today’s society for the details and fidelity of 3D models, a key point detection method for 3D network models based on virtual reality technology is proposed. The key technical steps include model normalization preprocessing, feature extraction, and similarity calculation. The 3D model retrieval test of cars, trucks, and buses is carried out using the VTFT algorithm. The results showed that in different databases, the highest success rate was 86.4% and the lowest was 77.10%. Practice has proved that this method can effectively improve the efficiency and accuracy of current 3D model processing and can better meet social needs such as games and entertainment.