A Model of Binocular Gaze Estimation
نویسنده
چکیده
• Apply derivative-of-Gaussian filters ∇σ. •Represent local image structure by 2 × 2 matrix S(x, y) = ∇σI ( ∇σI )>. • S(x, y) is smoothed at scale τ . The response C(x, y) = detSτ / trSτ has maxima at distinctive image-points (qx, qy). •Consider the colour of I` around q i `, vs. the colour of Ir around q j r . •Difference between the two colours is put into a matching-table, fij. •Compute the minimam` in each row i, andm j r in each column j. • Enforce uniqueness and compatibility, hence q i ` matches q j r if i = m j r, j = m`, and fij < fmax.
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