Recent advances in machine learning have led to increased interest in solving visual
computing problems using methods that employ coordinate‐based neural networks. These …

Computer vision tasks are crucial for aerospace missions as they help spacecraft to
understand and interpret the space environment, such as estimating position and …

This paper conducts a comparative evaluation between Neural Radiance Fields (NeRF) and
photogrammetry for 3D reconstruction in the cultural heritage domain. Focusing on three …

This paper presents a Convolutional Neural Network (CNN) to simultaneously abstract the
3D structure of the target space resident object and estimate its pose from a single 2D …

The proliferation of non-cooperative resident space objects (RSOs) in orbit has spurred the
demand for active space debris removal, on-orbit servicing (OOS), classification, and …

Computer vision tasks are crucial for aerospace missions as they help spacecraft to
understand and interpret the space environment, such as estimating position and …

The accelerating deployment of spacecraft in orbit has generated interest in on-orbit
servicing (OOS), inspection of spacecraft, and active debris removal (ADR). Such missions …

Decomposing a scene into its 3D geometry, surface material textures, and illumination is a
challenging but important problem in computer vision and graphics. While recent neural …

We address the estimation of the 6D pose of an unknown target spacecraft relative to a
monocular camera, a key step towards the autonomous rendezvous and proximity …

Abstract While Neural Radiance Fields (NeRF) are gaining increasing interest in various
domains as innovative methods for novel view synthesis and image-based reconstruction …