Scheerlinck, CedricBarnes, NickMahony, RobertJawahar, CLi, HMori, GSchindler, K2024-04-18December 2978-3-030-20886-8http://hdl.handle.net/1885/316884Event cameras provide asynchronous, data-driven measurements of local temporal contrast over a large dynamic range with extremely high temporal resolution. Conventional cameras capture low frequency reference intensity information. These two sensor modalities provide complementary information. We propose a computationally efficient, asynchronous filter that continuously fuses image frames and events into a single high-temporal-resolution, high-dynamic-range image state. In absence of conventional image frames, the filter can be run on events only. We present experimental results on high-speed, highdynamic-range sequences, as well as on new ground truth datasets we generate to demonstrate the proposed algorithm outperforms existing state-of-the-art methods.This research was supported by an Australian Government Research Training Program Scholarship, and the Australian Research Council through the “Australian Centre of Excellence for Robotic Vision” CE140100016.application/pdfen-AU© 2019 Springer Nature Switzerland AG 2019201910.1007/978-3-030-20873-8_202022-12-18