Faces in Event Streams (FES): An Annotated Face Dataset for Event Cameras

Bissarinova, Ulzhan; Rakhimzhanova, Tomiris; Kenzhebalin, Daulet; Varol, Huseyin Atakan

doi:10.36227/techrxiv.22826654.v2

Face_Detection_and_Facial_Landmark_Detection_from_Event_Streams_NEW_VERSION_REVIEW_-4.pdf (32.29 MB)

Faces in Event Streams (FES): An Annotated Face Dataset for Event Cameras

preprint

posted on 2023-08-28, 20:14 authored by Ulzhan BissarinovaUlzhan Bissarinova, Tomiris Rakhimzhanova, Daulet Kenzhebalin, Huseyin Atakan Varol

Faces in Event Streams dataset contains 689 minutes of recorded event streams, and 1.6 million annotated faces with bounding box and five point facial landmarks. Tha paper presents the dataset and corresponding models for detecting face and facial landmakrs directly from event stream data.