40 citations · 81 across the 8 of their papers we have counts for
8 papers
Multi-view dense image matching with similarity learning and geometry priors
Mohamed Ali Chebbi, Ewelina Rupnik, Paul Lopes +1
We introduce MV-DeepSimNets, a comprehensive suite of deep neural networks designed for multi-view similarity learning, leveraging epipolar geometry for training. Our approach inco…
BRDF-NeRF: Neural Radiance Fields with Optical Satellite Images and BRDF Modelling
Lulin Zhang, Ewelina Rupnik, Tri Dung Nguyen +2
Neural radiance fields (NeRF) have gained prominence as a machine learning technique for representing 3D scenes and estimating the bidirectional reflectance distribution function (…
An evaluation of Deep Learning based stereo dense matching dataset shift from aerial images and a large scale stereo dataset
Teng Wu, Bruno Vallet, Marc Pierrot-Deseilligny +1
Dense matching is crucial for 3D scene reconstruction since it enables the recovery of scene 3D geometry from image acquisition. Deep Learning (DL)-based methods have shown effecti…
SparseSat-NeRF: Dense Depth Supervised Neural Radiance Fields for Sparse Satellite Images
Lulin Zhang, Ewelina Rupnik
Digital surface model generation using traditional multi-view stereo matching (MVS) performs poorly over non-Lambertian surfaces, with asynchronous acquisitions, or at discontinuit…
DeepSim-Nets: Deep Similarity Networks for Stereo Image Matching
Mohamed Ali Chebbi, Ewelina Rupnik, Marc Pierrot-Deseilligny +1
We present three multi-scale similarity learning architectures, or DeepSim networks. These models learn pixel-level matching with a contrastive loss and are agnostic to the geometr…
Pointless Global Bundle Adjustment With Relative Motions Hessians
Ewelina Rupnik, Marc Pierrot-Deseilligny
Bundle adjustment (BA) is the standard way to optimise camera poses and to produce sparse representations of a scene. However, as the number of camera poses and features grows, ref…
A pipeline for automated processing of Corona KH-4 (1962-1972) stereo imagery
Sajid Ghuffar, Tobias Bolch, Ewelina Rupnik +1
The Corona KH-4 reconnaissance satellite missions from 1962-1972 acquired panoramic stereo imagery with high spatial resolution of 1.8-7.5 m. The potential of 800,000+ declassified…
Feature matching for multi-epoch historical aerial images
Lulin Zhang, Ewelina Rupnik, Marc Pierrot-Deseilligny
Historical imagery is characterized by high spatial resolution and stereo-scopic acquisitions, providing a valuable resource for recovering 3D land-cover information. Accurate geo-…