Holoscopic Micro-Gesture Recognition Challenge 2018 (HoMGR 2018)

The rapid development of Augmented Reality (AR) and Virtual Reality (VR) technology has led to high demand on precise finger movement-based controllers for gaming and other applications. Immersive holoscopic 3D imaging technology has been explored a lot recently and some small size sensors are now available. It can produce a 2D image with 3D information in it from lens array inside. This challenge will provide the opportunity to the research community to design finger micro-gesture recognition system using their own 3D image processing, feature extraction and classification methods, on a new built holoscopic 3D micro-finger gesture dataset.
The dataset contains image sequences of different conventional finger micro-gestures (i.e. Button, Dial and Slider) from 40 subjects. The two sub-challenges will be
(1) Holoscopic 3D image based micro-gesture recognition.
(2) Holoscopic 3D video based micro-gesture recognition.

Dr. Hongying Meng, Brunel University London, UK.
Dr. Mohammad R. Swash, Brunel University London, UK.
Dr. Huibin Li, Xi’an Jiaotong University, China.
Prof. Nadia Bianchi-Berthouze, University College London, UK

Recognizing Families In the Wild (RFIW) 2.0

RFIW tackles problems of visual kinship recognition. The goal is to maximize the full capacity of FIW, alongside the minds of the research communities, to push the frontier of automatic kinship recognition technologies and, ultimately, bridge the gap between research-and-reality.