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BUNDLE ADJUSTMENT WITH MOTION CONSTRAINTS FOR UNCALIBRATED MULTI-CAMERA SYSTEMS AT THE GROUND LEVEL
Debao Huang,
Rongjun Qin,
Mostafa Elhashash
ISPRS Journal of Photogrammetry and Remote Sensing, 2024
paper | video
This paper derives novel geometric constraints in BA of SfM pipeline that assumes minimal knowns about the uncalibrated
multi-camera systems at the ground level. Our proposed constraints are effective in correcting topographical errors (i.e., trajectory drifts) of the reconstruction.
It benefits the broader use of photogrammetry with low-cost and non-expert use cases to generate 3D products with improved accuracy.
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We've developed a photogrammetry toolkit that accepts a set of images as input, and runs the pipeline from Structure-from-Motion(SfM), Multi-view stereo(MVS), mesh reconstruction
to texture mapping. The outputs include estimated camera poses, sparse point clouds, dense point clouds, meshes, and textured meshes.
I'm responsible for implementing and maintaining the Structure-from-Motion software. I also design and implement the GUI of the toolkit for better visualization and user interaction.
The following video demonstrates an example of running the toolkit GUI on the UAV datasets collected by myself.
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I serve as a peer reviewer for:
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IEEE Transactions on Geoscience and Remote Sensing
International Journal of Applied Earth Observation and Geoinformation
Photogrammetric Engineering & Remote Sensing
British Machine Vision Conference (BMVC 2024) -- Outstanding Reviewer
Conference on Neural Information Processing Systems (NeurIPS 2024)
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I am a Federal Aviation Administration (FAA) certificated remote pilot, which allows me to collect UAV data for both research and commercial purposes in the US.
I have conducted many data collection and surveying tasks that are utilized in our projects and research. The following map shows the flight missions I have conducted
on campus.
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