Asynchronous, Photometric Feature Tracking Using Events and Frames-Reference-Cited by-同舟云学术

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Asynchronous, Photometric Feature Tracking Using Events and Frames

Published:2018 Issue: Volume: Page:766-781
ISSN:0302-9743
Container-title:Computer Vision – ECCV 2018
language:
Short-container-title:

Author:

Gehrig Daniel,Rebecq Henri,Gallego Guillermo,Scaramuzza Davide

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-01258-8_46

Reference37 articles.

1. Lichtsteiner, P., Posch, C., Delbruck, T.: A $$128 \times 128$$128×128 120 dB 15 $$\upmu $$μs latency asynchronous temporal contrast vision sensor. IEEE J. Solid-State Circ. 43(2), 566–576 (2008)

2. Brandli, C., Berner, R., Yang, M., Liu, S.C., Delbruck, T.: A $$240 \times 180$$240×180 130 dB 3 $$\upmu $$μs latency global shutter spatiotemporal vision sensor. IEEE J. Solid-State Circ. 49(10), 2333–2341 (2014)

3. Zhou, H., Yuan, Y., Shi, C.: Object tracking using SIFT features and mean shift. Comput. Vis. Image. Und. 113(3), 345–352 (2009)

4. Klein, G., Murray, D.: Parallel tracking and mapping on a camera phone. In: IEEE ACM International Symposium on Mixed and Augmented Reality (ISMAR) (2009)

5. Forster, C., Zhang, Z., Gassner, M., Werlberger, M., Scaramuzza, D.: SVO: semidirect visual odometry for monocular and multicamera systems. IEEE Trans. Robot. 33(2), 249–265 (2017)

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