Please use this identifier to cite or link to this item: https://doi.org/10.1177/1729881417752759
Title: Event-based stereo matching using semiglobal matching
Authors: Xie, Z
Zhang, J
Wang, P 
Keywords: Disparity map
Event-based
Event-driven
Semi-global matching
Stereo matching
Stereo image processing
Issue Date: 2018
Citation: Xie, Z, Zhang, J, Wang, P (2018). Event-based stereo matching using semiglobal matching. International Journal of Advanced Robotic Systems 15 (1). ScholarBank@NUS Repository. https://doi.org/10.1177/1729881417752759
Rights: Attribution 4.0 International
Abstract: In this article, we focus on the problem of depth estimation from a stereo pair of event-based sensors. These sensors asynchronously capture pixel-level brightness changes information (events) instead of standard intensity images at a specified frame rate. So, these sensors provide sparse data at low latency and high temporal resolution over a wide intrascene dynamic range. However, new asynchronous, event-based processing algorithms are required to process the event streams. We propose a fully event-based stereo three-dimensional depth estimation algorithm inspired by semiglobal matching. Our algorithm considers the smoothness constraints between the nearby events to remove the ambiguous and wrong matches when only using the properties of a single event or local features. Experimental validation and comparison with several state-of-the-art, event-based stereo matching methods are provided on five different scenes of event-based stereo data sets. The results show that our method can operate well in an event-driven way and has higher estimation accuracy. © The Author(s) 2018.
Source Title: International Journal of Advanced Robotic Systems
URI: https://scholarbank.nus.edu.sg/handle/10635/182115
ISSN: 17298806
DOI: 10.1177/1729881417752759
Rights: Attribution 4.0 International
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