TOPSPIN: daTaset Of sPinning objectS with neuromorPhic vIsioN
Description
Dataset used in the paper "Event-based Structure-from-Orbit", for the purpose of sparse point cloud reconstruction of a spinning object.
The dataset consists of six objects rotating at three speeds, being viewed by a static event camera from four different perspectives. For each scene, one of the objects was placed on the turntable and rotated at a given speed, while the camera observed it from a given perspective. We exhaustively enumerated all combinations of objects, rotational speeds and perspectives to generate 72 scenes in total.
Scene names use the following encoding: {object}-{perspective}-{speed}
All scenes have the same data format:
scene/
events.csv -- Event stream with the format {timestamp, x, y, polarity (0=off, 1=on)}
calib.txt -- Camera calibration file, with the format "fx fy cx cy k1 k2 p1 p2 k3"
meta.json -- Metadata file with camera frame dimensions
Note: all timestamps are in microseconds.
When using the data in an academic context, please cite the following paper.
@inproceedings{elms2024eventbased,
title={Event-based Structure-from-Orbit},
booktitle={IEEE Conf. on Computer Vision and Pattern Recpgnition},
author={Ethan Elms and Yasir Latif and Tae Ha Park and Tat-Jun Chin},
year={2024},
}
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Additional details
Related works
- Is published in
- Publication: arXiv:2405.06216 (arXiv)