EDCFlow combines temporally dense, multi-scale feature differences at high resolution with a low-resolution cost volume to achieve accurate, efficient event-based optical flow.
Asynchronous frameless event-based optical flow.Neural Networks, 27:32–37, 2012
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EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation
EDCFlow combines temporally dense, multi-scale feature differences at high resolution with a low-resolution cost volume to achieve accurate, efficient event-based optical flow.