TOPSPIN: daTaset Of sPinning objectS with neuromorPhic vIsioN

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},}