Search Results for author: Shea Hagstrom

Found 3 papers, 3 papers with code

Cumulative Assessment for Urban 3D Modeling

1 code implementation9 Jul 2021 Shea Hagstrom, Hee Won Pak, Stephanie Ku, Sean Wang, Gregory Hager, Myron Brown

Urban 3D modeling from satellite images requires accurate semantic segmentation to delineate urban features, multiple view stereo for 3D reconstruction of surface heights, and 3D model fitting to produce compact models with accurate surface slopes.

3D Reconstruction Semantic Segmentation

Single View Geocentric Pose in the Wild

1 code implementation18 May 2021 Gordon Christie, Kevin Foster, Shea Hagstrom, Gregory D. Hager, Myron Z. Brown

Current methods for Earth observation tasks such as semantic mapping, map alignment, and change detection rely on near-nadir images; however, often the first available images in response to dynamic world events such as natural disasters are oblique.

Change Detection Earth Observation

Learning Geocentric Object Pose in Oblique Monocular Images

1 code implementation CVPR 2020 Gordon Christie, Rodrigo Rene Rai Munoz Abujder, Kevin Foster, Shea Hagstrom, Gregory D. Hager, Myron Z. Brown

An object's geocentric pose, defined as the height above ground and orientation with respect to gravity, is a powerful representation of real-world structure for object detection, segmentation, and localization tasks using RGBD images.

Earth Observation Object +4

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