Presentation + Paper
27 April 2018 Real-time geoprojection and stabilization on airborne GPU-enabled embedded systems
Author Affiliations +
Abstract
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.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Evan Teters, Hadi AliAkbarpour, Kannappan Palaniappan, and Guna Seetharaman "Real-time geoprojection and stabilization on airborne GPU-enabled embedded systems", Proc. SPIE 10645, Geospatial Informatics, Motion Imagery, and Network Analytics VIII, 106450H (27 April 2018); https://doi.org/10.1117/12.2309796
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Cameras

Embedded systems

Image registration

3D image processing

Imaging systems

Sensors

Unmanned aerial vehicles

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