Presenter(s)
Karthik Balaji Ashok Kumar
Files
Download Project (218 KB)
Description
3D reconstruction from a set of 2D images has been widely used in building modelling. However, there exist some intrinsic information of building that can be exploited for modelling. In this proposal, we propose a novel method for building modelling. We first fit cuboids into the 2D images. From the cuboid fitting, we initialize the building shape. The building’s texture is later updated via image panorama. Finally, the building model is refined with the geospatial information. The experimental results demonstrate the effectiveness of our proposed method.
Publication Date
4-22-2020
Project Designation
Independent Research
Primary Advisor
Van Tam Nguyen
Primary Advisor's Department
Computer Science
Keywords
Stander Symposium project, College of Arts and Sciences
United Nations Sustainable Development Goals
Sustainable Cities and Communities
Recommended Citation
"3D Building Reconstruction Using Cubodial Fitting and Geospacial Information" (2020). Stander Symposium Projects. 1789.
https://ecommons.udayton.edu/stander_posters/1789