19 citations · 101 across the 25 of their papers we have counts for
6 papers · 1 filter
Neural Volumetric Reconstruction for Coherent Synthetic Aperture Sonar
Albert W. Reed, Juhyeon Kim, Thomas Blanford +3
Synthetic aperture sonar (SAS) measures a scene from multiple views in order to increase the resolution of reconstructed imagery. Image reconstruction methods for SAS coherently co…
Towards Live 3D Reconstruction from Wearable Video: An Evaluation of V-SLAM, NeRF, and Videogrammetry Techniques
David Ramirez, Suren Jayasuriya, Andreas Spanias
Mixed reality (MR) is a key technology which promises to change the future of warfare. An MR hybrid of physical outdoor environments and virtual military training will enable engag…
SINR: Deconvolving Circular SAS Images Using Implicit Neural Representations
Albert Reed, Thomas Blanford, Daniel C. Brown +1
Circular Synthetic aperture sonars (CSAS) capture multiple observations of a scene to reconstruct high-resolution images. We can characterize resolution by modeling CSAS imaging as…
Dynamic CT Reconstruction from Limited Views with Implicit Neural Representations and Parametric Motion Fields
Albert W. Reed, Hyojin Kim, Rushil Anirudh +4
Reconstructing dynamic, time-varying scenes with computed tomography (4D-CT) is a challenging and ill-posed problem common to industrial and medical settings. Existing 4D-CT recons…
Coupling Rendering and Generative Adversarial Networks for Artificial SAS Image Generation
Albert Reed, Isaac Gerg, John McKay +3
Acquisition of Synthetic Aperture Sonar (SAS) datasets is bottlenecked by the costly deployment of SAS imaging systems, and even when data acquisition is possible,the data is often…
Adaptive Lighting for Data-Driven Non-Line-of-Sight 3D Localization and Object Identification
Sreenithy Chandran, Suren Jayasuriya
Non-line-of-sight (NLOS) imaging of objects not visible to either the camera or illumination source is a challenging task with vital applications including surveillance and robotic…