Gaze Estimation

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Approaches

  1. Corneal reflection-based methods

    • NIR or LED illumination, learning the mapping (e.g., regression, ) between glint vector and gaze direction.

  2. Appearance based methods

    • Limbus model [pdf]: fit a limbus model (a fixed-diameter disc) to detected iris edges.

Auxiliary Tools

  1. Calibration: obtain the visual axis and kappa angle for each person.

  2. Facial landmarks detection

    • One Millisecond Face Alignment with an Ensemble of Regression Trees [pdf] [code]
    • Continuous Conditional Neural Fields for Structured Regression [pdf]

  3. Head Pose Estimation

Dataset

  1. [MPIIGaze]: fine-grained annotation

  2. [Eyediap]: RGB-D