18 citations · 29 across the 6 of their papers we have counts for
7 papers
Physics Driven Image Simulation from Commercial Satellite Imagery
Scott Sorensen, Wayne Treible, Robert Wagner +3
Physics driven image simulation allows for the modeling and creation of realistic imagery beyond what is afforded by typical rendering pipelines. We aim to automatically generate a…
Error Propagation in Satellite Multi-image Geometry
Joseph L Mundy, Hank Theiss
This paper describes an investigation of the source of geospatial error in digital surface models (DSMs) constructed from multiple satellite images. In this study the uncertainty i…
Bayesian Inference of Spacecraft Pose using Particle Filtering
Maxim Bazik, Brien Flewelling, Manoranjan Majji +1
Automated 3D pose estimation of satellites and other known space objects is a critical component of space situational awareness. Ground-based imagery offers a convenient data sourc…
4-D Scene Alignment in Surveillance Video
Robert Wagner, Daniel Crispell, Patrick Feeney +1
Designing robust activity detectors for fixed camera surveillance video requires knowledge of the 3-D scene. This paper presents an automatic camera calibration process that provid…
Learning Dense Stereo Matching for Digital Surface Models from Satellite Imagery
Wayne Treible, Scott Sorensen, Andrew D. Gilliam +2
Digital Surface Model generation from satellite imagery is a difficult task that has been largely overlooked by the deep learning community. Stereo reconstruction techniques develo…
Global-Local Airborne Mapping (GLAM): Reconstructing a City from Aerial Videos
Hasnain Vohra, Maxim Bazik, Matthew Antone +2
Monocular visual SLAM has become an attractive practical approach for robot localization and 3D environment mapping, since cameras are small, lightweight, inexpensive, and produce…
Dataset Augmentation for Pose and Lighting Invariant Face Recognition
Daniel Crispell, Octavian Biris, Nate Crosswhite +2
The performance of modern face recognition systems is a function of the dataset on which they are trained. Most datasets are largely biased toward "near-frontal" views with benign…