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Wednesday 6th Nov 2024

Introduction and preparation to hack

Familiarize yourself with the data through unit testing

  • MOBIUS.zip, 3.5 GB

References

  • MOBIUS (Mobile Ocular Biometrics In Unconstrained Settings) is a publicly available dataset primarily intended for mobile ocular recognition research. It was developed at the University of Ljubljana in 2019. It consists of 16,717 RGB images collected from 100 subjects. The images are high-resolution and were captured with the cameras of 3 different commercial mobile phones — Sony Xperia Z5 Compact, Apple iPhone 6s, and Xiaomi Pocophone F1. https://sclera.fri.uni-lj.si/datasets.html Contact point: matej.vitek@fri.uni-lj.si.

  • Ghosh, Shreya, Abhinav Dhall, Munawar Hayat, Jarrod Knibbe, and Qiang Ji. "Automatic gaze analysis: A survey of deep learning based approaches." IEEE Transactions on Pattern Analysis and Machine Intelligence 46, no. 1 (2023): 61-84. https://arxiv.org/pdf/2108.05479

  • “We performed image enhancement algorithms such as gamma transformation, linear transformation, histogram normalization, and global histogram equalization on the eye images collected by the eye tracker, and drew theoutput image and grayscale distribution histogram.”
    Zhang, Heming, and Changyuan Wang. "Integrated neural network-based pupil tracking technology for wearable gaze tracking devices in flight training." IEEE Access (2024).