Using Depth Image in 3D Model Retrieval System

Abstract

For content-based 3D model retrieval, an improved depth image-based feature extraction algorithm is proposed. First, a 3-D model is preprocessed. Secondly, six depth images are generated in three principal directions in the normalized coordinate system. Thirdly, the eigenvectors of 3D model are obtained through 2D Fourier Transform of the depth images. Finally a new method is used for low-frequency sampling. Experiments show that the approach performed quite well despite its apparently simple approach. In our large 3D database, our approach is well for variant resolution models and holds satisfied computational costs.

3D Modeling of Transformer Substation Based on Mapping and 2D Images

“…In order to protect the security of staffs and facilitate their training, the 3D models of transformer substation by using laser scanning technology have increasingly aroused concerns of experts [6][7][8][9]. The rise of 3D laser scanning technology can solve the problem of the data acquisition and precision of the model while it may get a lot of points of information that leads to accurate modeling of the substation equipment [10][11][12].…”