Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

arXiv:2302.08890v3 Announce Type: replace
Abstract: Event cameras are bio-inspired sensors that capture the per-pixel intensity changes asynchronously and produce event streams encoding the time, pixel position, and polarity (sign) of the intensity changes. Event cameras possess a myriad of advantages over canonical frame-based cameras, such as high temporal resolution, high dynamic range, low latency, etc. Being capable of capturing information in challenging visual conditions, event cameras have the potential to overcome the limitations of frame-based cameras in the computer vision …

abstract advantages arxiv benchmarks bio bio-inspired cameras canonical cs.cv deep learning encoding event intensity per pixel resolution sensors survey temporal type vision