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Analytical Review of Event-Based Camera Depth Estimation Methods and Systems

期刊

SENSORS
卷 22, 期 3, 页码 -

出版社

MDPI
DOI: 10.3390/s22031201

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event-based camera; neuromorphic; depth estimation; monocular

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Event-based cameras are gaining popularity in the commercial space and have great potential for depth estimation. However, research on event-based camera depth estimation is still limited. This work provides an analysis and summary of existing methods and systems, and offers recommendations for further research.
Event-based cameras have increasingly become more commonplace in the commercial space as the performance of these cameras has also continued to increase to the degree where they can exponentially outperform their frame-based counterparts in many applications. However, instantiations of event-based cameras for depth estimation are sparse. After a short introduction detailing the salient differences and features of an event-based camera compared to that of a traditional, frame-based one, this work summarizes the published event-based methods and systems known to date. An analytical review of these methods and systems is performed, justifying the conclusions drawn. This work is concluded with insights and recommendations for further development in the field of event-based camera depth estimation.

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