FDDB-360: Face Detection in 360-Degree Fisheye Images
Jianglin Fu, Saeed Ranjbar Alvar, Ivan V. Bajić, Rodney G. Vaughan · 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) · 2019
360° cameras offer the possibility to cover a large area, for example an entire room, without using multiple distributed vision sensors. However, geometric distortions introduced by their lenses make computer vision problems more challenging. In this paper we address face detection in 360° fisheye images. We show how a face detector trained on regular images can be re-trained for this purpose, and we also provide a 360° fisheye-like version of the popular FDDB face detection dataset, which we call FDDB-360.