Asynchrnous Spatio-Temporal Spike Metric for Event Camera

This work is implemented by Jianing Li, Yihua Fu, Siwei Dong, Zhaofei Yu, Tiejun Huang and Yonghong Tian

Introduction

In this repository, we propose an asynchronous spatio-temporal spike metric considering both spatio-temporal structural properties and polarity attribute for event cameras. As a result, the conditional probability function is firstly introduced to describe the distribution and polarity prior in MSTPPs. Besides, a 3D Gaussian kernel is defined to capture the spatio-temporal structure, and it transforms discrete spikes into the condition intensity function in a reproducing kernel Hilbert space (RKHS). Moreover, the distance between asynchronous spikes can be quantified by inner product in RKHS.