The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 01, 2025

Filed:

Jun. 04, 2024
Applicant:

China University of Mining and Technology, Beijing, Beijing, CN;

Inventors:

Ce Li, Beijing, CN;

Qin Han, Beijing, CN;

Feng Yang, Beijing, CN;

Suping Peng, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 17/00 (2006.01); G06T 7/80 (2017.01); G06V 10/44 (2022.01); G06V 10/46 (2022.01); G06V 10/771 (2022.01);
U.S. Cl.
CPC ...
G06T 17/00 (2013.01); G06T 7/80 (2017.01); G06V 10/44 (2022.01); G06V 10/462 (2022.01); G06V 10/771 (2022.01); G06T 2207/20081 (2013.01);
Abstract

A monocular video-based three-dimensional reconstruction and depth prediction method and system for a pipeline are provided, relating to the technical field of deep learning and image processing. The method includes the following steps: performing feature extraction and matching and incremental reconstruction on collected image sequences of different pipeline scenes based on the COLMAP method to obtain a camera external parameter matrix corresponding to each image, and constructing a pipeline three-dimensional reconstruction dataset; training the Fast-MVSNet network and the PatchMatchNet network using the existing public datasets, and selecting an optimal network model from multiple trained network models for three-dimensional reconstruction and depth prediction of an actual pipeline scene. A holistic framework from a monocular video to a three-dimensional scene is constructed, which can effectively achieve three-dimensional reconstruction and depth prediction of a drainage pipeline and intuitively display internal structure information of the pipeline.


Find Patent Forward Citations

Loading…