Research Article
3D Reconstruction Method of Virtual Teaching Laboratory Model Based on Akaze Features
@INPROCEEDINGS{10.1007/978-3-031-21161-4_58, author={Mingxiu Wan and Yangbo Wu}, title={3D Reconstruction Method of Virtual Teaching Laboratory Model Based on Akaze Features}, proceedings={e-Learning, e-Education, and Online Training. 8th EAI International Conference, eLEOT 2022, Harbin, China, July 9--10, 2022, Proceedings, Part I}, proceedings_a={ELEOT}, year={2023}, month={3}, keywords={AKAZE features Virtual teaching Laboratory model 3D reconstruction}, doi={10.1007/978-3-031-21161-4_58} }- Mingxiu Wan
Yangbo Wu
Year: 2023
3D Reconstruction Method of Virtual Teaching Laboratory Model Based on Akaze Features
ELEOT
Springer
DOI: 10.1007/978-3-031-21161-4_58
Abstract
In order to improve the accuracy of 3D modeling of virtual laboratory, a 3D reconstruction method of virtual teaching laboratory model based on AKAZE feature is proposed. In the gradient image, all Gaussian weighted vectors in the region are superposed with the feature points as the center to match the features of the virtual teaching laboratory. Logarithmically increasing according to AKAZE’s scale level. The 3D points are searched through breadth-first traversal, and an association graph based on AKAZE features is constructed. Estimate the global rotation matrix, optimal translation matrix and global position information, and obtain all the information of the 3D model library. Through the steps of material acquisition, 3D graphics construction, 3D device construction, virtual object determination and virtual teaching laboratory model release steps, the 3D reconstruction of the model is completed. It can be seen from the experimental results that the maximum matching error between this method and the actual extracted features is 6, which can accurately match the three-dimensional features and achieve the ideal reconstruction effect.
