Cultural relic handicraft three-dimensional reconstruction method based on multiple views and deep learning

Through multi-view shooting and deep learning methods, image acquisition and feature extraction of cultural relics and crafts are solved, and the problem of insufficient generalization ability of the three-dimensional reconstruction algorithm of cultural relics and crafts in the existing technology is generated, and a high-precision three-dimensional model is suitable for cultural heritage protection and digital museums.

CN120451444APending Publication Date: 2025-08-08QINGHAI NORMAL UNIV
0 Cites 5 Cited by

Patent Information

Application Number
CN202510539788.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-27
Publication Date
2025-08-08

AI Technical Summary

Technical Problem

The insufficient existing data sets lead to limited generalization and practicality of the three-dimensional reconstruction algorithm for cultural relics and crafts in complex textures and shapes, and cannot fully capture the multi-level features of objects, resulting in insufficient precision and complete reconstruction results.

Method used

Multi-view shooting, sparse reconstruction, dense reconstruction, depth map generation and feature pyramid network combined with Transformer methods are used to collect and extract cultural relics and crafts to build a high-precision three-dimensional reconstruction model.

Benefits of technology

The comprehensive capture of the geometric shapes and texture details of cultural relics and crafts has been achieved, the authenticity and accuracy of the three-dimensional reconstruction model has been improved, and the robustness has been enhanced. A 3D dense point cloud model with high-resolution texture maps has been generated, suitable for cultural heritage protection and digital museums.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention discloses a cultural relic handicraft three-dimensional reconstruction method based on multiple views and deep learning, and relates to the technical field of cultural relic handicraft three-dimensional reconstruction methods, and the method comprises the steps: carrying out the image collection of cultural relic handicrafts through employing a multi-view shooting method, and obtaining a structured image data set; performing feature matching and camera parameter estimation on the obtained multi-view image set by adopting a sparse reconstruction method to obtain camera internal parameters, external parameters and sparse point cloud data; performing fine processing on the obtained sparse point cloud data by adopting a dense reconstruction method to obtain a 3D dense point cloud model with a texture map; analyzing the obtained 3D dense point cloud model by adopting a depth map generation method to obtain a depth map and a rendering image corresponding to each image; image acquisition is performed on the cultural relic handicraft by adopting a multi-view shooting method, so that information such as geometric shapes and texture details of the cultural relic handicraft is comprehensively captured, and the problem of information loss caused by a single view angle is effectively solved.
Need to check novelty before this filing date? Find Prior Art