#201:
E. Teters,
H. AliAkbarpour,
G. Seetharaman, and
K. Palaniappan
SPIE Geospatial Informatics, and Motion Imagery Analytics VIII,
Volume 10645,
pgs. 106450H,
2018
Abstract,
Bibtex,
PlainText,
PDF,
URL,
DOI,
Google Scholar
We describe the challenges and capabilities of implementing a fast, efficient georegistration system on low-power embedded systems. The input to this are 2-D images and refined camera metadata sensor measurements, the output are registered aerial images that can be used in image tracking and 3D reconstruction. We propose future application in real-time on-device processing, given initial speeds on embedded systems. Because the method used doesn’t rely on image-to-image feature correspondences as in other methods, the computation is significantly faster and improved upon further by GPU programming.
@inproceedings{2018a,
author = "E. Teters and H. AliAkbarpour and G. Seetharaman and K. Palaniappan",
title = "Real-time geoprojection and stabilization on airborne GPU-enabled embedded systems",
year = 2018,
journal = "SPIE Geospatial Informatics, and Motion Imagery Analytics VIII",
volume = 10645,
pages = "106450H",
month = "Apr",
doi = " https://doi.org/10.1117/12.2309796",
url = "https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10645/106450H/Real-time-geoprojection-and-stabilization-on-airborne-GPU-enabled-embedded/10.1117/12.2309796.full?SSO=1"
}
E. Teters, H. AliAkbarpour, G. Seetharaman, and K. Palaniappan. Real-time geoprojection and stabilization on airborne GPU-enabled embedded systems. SPIE Geospatial Informatics, and Motion Imagery Analytics VIII, volume 10645, pages 106450H, April 2018.
