activity
20212023
most citedConstrained Bundle Adjustment for Structure From Motion Using Uncalibrated Multi-Camera Systems

9 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023

Select-and-Combine (SAC): A Novel Multi-Stereo Depth Fusion Algorithm for Point Cloud Generation via Efficient Local Markov Netlets

Mostafa Elhashash, Rongjun Qin

Many practical systems for image-based surface reconstruction employ a stereo/multi-stereo paradigm, due to its ability to scale for large scenes and its ease of implementation for…

cs.CV2022

A Review of Mobile Mapping Systems: From Sensors to Applications

Mostafa Elhashash, Hessah Albanwan, Rongjun Qin

The evolution of mobile mapping systems (MMSs) has gained more attention in the past few decades. MMSs have been widely used to provide valuable assets in different applications. T…

cs.CV2022

Investigating Spherical Epipolar Rectification for Multi-View Stereo 3D Reconstruction

Mostafa Elhashash, Rongjun Qin

Multi-view stereo (MVS) reconstruction is essential for creating 3D models. The approach involves applying epipolar rectification followed by dense matching for disparity estimatio…

cs.CV2022★ 9 cited

Constrained Bundle Adjustment for Structure From Motion Using Uncalibrated Multi-Camera Systems

Debao Huang, Mostafa Elhashash, Rongjun Qin

Structure from motion using uncalibrated multi-camera systems is a challenging task. This paper proposes a bundle adjustment solution that implements a baseline constraint respecti…

cs.CV2021

3D Reconstruction through Fusion of Cross-View Images

Rongjun Qin, Shuang Song, Xiao Ling +1

3D recovery from multi-stereo and stereo images, as an important application of the image-based perspective geometry, serves many applications in computer vision, remote sensing an…