Ancient cultural relic three-dimensional reconstruction method based on single view and deep learning
A 3D reconstruction and deep learning technology, applied in the field of 3D reconstruction of ancient cultural relics pictures, can solve the problems of scarcity of 3D model data sets, scarcity of ancient cultural relics view pictures, lack of texture wide baseline feature matching, etc., to achieve the effect of improving accuracy and depth
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0039] A method for three-dimensional reconstruction of ancient cultural relics based on single-view and deep learning, comprising the following steps:
[0040] Step 1: Input ancient relics and crafts similar to the ancient relics (how to judge whether they are similar?) Use the existing ShapeNetVox dataset, which includes objects similar to ancient relics such as porcelain, lamps, bowls, tables and chairs, etc. A data set of a voxel model, the data set includes multi-angle multi-view pictures of ancient relics and handicrafts similar to the ancient relics and a voxel model for training; the data set here can use the existing ShapeNetVox data set, which includes Voxel models similar to ancient artifacts such as porcelain, lamps, bowls, tables and chairs.
[0041] Step 2: According to the "encoder-decoder" network structure, use an encoder with a 3D-ResVGG network and a multi-path channel attention module to perform in-depth information mining and feature extraction on the data...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


