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EyeTrackingForTargetAcquisitionInSparseVis

https://dl.acm.org/doi/abs/10.1145/3379156.3391834

  1. In this paper, we present a novel marker-free method for identifying screens of interest when using head-mounted eye tracking for visualization in cluttered and multi-screen environments. We offer a solution to discerning visualization entities from sparse backgrounds by incorporating edge-detection into the existing pipeline. Our system allows for both more efficient screen identification and improved accuracy over the state-of-the-art ORB algorithm.
  2. This project is built on a previous vialab member Santiago Bonada
  3. How to setup environment see environment.md

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Code for Eye Tracking For Target Acquisition In Sparse Visualization on ETRA ETVIS2020

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