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Event-based, 6-DOF camera tracking from photometric depth maps

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Date

Date
2017
Journal Article
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Gallego, G., Lund, J. E. A., Mueggler, E., Rebecq, H., Delbruck, T., & Scaramuzza, D. (2017). Event-based, 6-DOF camera tracking from photometric depth maps. IEEE Transactions on Pattern Analysis and Machine Intelligence, PP, n/a. https://doi.org/10.1109/TPAMI.2017.2769655

Abstract

Abstract

Abstract

Event cameras are bio-inspired vision sensors that output pixel-level brightness changes instead of standard intensity frames. These cameras do not suffer from motion blur and have a very high dynamic range, which enables them to provide reliable visual information during high-speed motions or in scenes characterized by high dynamic range. These features, along with a very low power consumption, make event cameras an ideal complement to standard cameras for VR/AR and video game applications. With these applications in mind, this paper

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99 since deposited on 2018-03-01
Acq. date: 2025-11-14

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Volume
PP

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n/a

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Journal Article

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Dewey Decimal Classifikation

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English

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Publication date
2017

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2018-03-01

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0098-5589

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Closed

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Views

99 since deposited on 2018-03-01
Acq. date: 2025-11-14

Citations

Citation copied

Gallego, G., Lund, J. E. A., Mueggler, E., Rebecq, H., Delbruck, T., & Scaramuzza, D. (2017). Event-based, 6-DOF camera tracking from photometric depth maps. IEEE Transactions on Pattern Analysis and Machine Intelligence, PP, n/a. https://doi.org/10.1109/TPAMI.2017.2769655

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