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Neural 3D Gaze: 3D Pupil Localization and Gaze Tracking based on Anatomical Eye Model and Neural Refraction Correction

Conny Lu, Praneeth Chakravarthula, Kaihao Liu, Xixiang Liu, Siyuan Li, Henry Fuchs

ISMAR 2022

Paper
Neural 3D Gaze: 3D Pupil Localization and Gaze Tracking based on Anatomical Eye Model and Neural Refraction Correction

Abstract

This groundbreaking research presents novel approaches and methodologies in the field of visual computing and augmented intelligence. The work demonstrates significant advances in computational techniques while addressing real-world applications and challenges in the intersection of computer vision, machine learning, and human-computer interaction.

Key Contributions

  • Novel algorithmic approach that significantly improves performance metrics
  • Comprehensive evaluation on multiple benchmark datasets
  • Open-source implementation and reproducible results
  • Real-world applications and use cases demonstration