Real-time 3D Scene Reconstruction with Surface Optimization

Authors

Presenter(s)

Ruixu Liu

Files

Description

A real-time 3D scene reconstruction system with surface optimization is proposed. The dense 3D point cloud model is created by utilizing rotation and orientation invariant feature matching along with loop-closure detection algorithm on RGB-D images in a mobile robot. The high resolution and smooth mesh model is implemented on a GPU based computer through wireless communication.

Publication Date

4-24-2019

Project Designation

Graduate Research

Primary Advisor

Vijayan K. Asari

Primary Advisor's Department

Electrical and Computer Engineering

Keywords

Stander Symposium project

Recommended Citation

"Real-time 3D Scene Reconstruction with Surface Optimization" (2019). Stander Symposium Projects. 1703.
https://ecommons.udayton.edu/stander_posters/1703