Resolution:
## Figure 3.
Regular and Grid-based sampling methods where . (left) For regular subdivision, the worst-case error in the distance estimate as d is the actual distance and m is the measured distanced → 0. (right) Grid-based subdivision improves the worst case error while forcing E → 0 as d → 0. The difference in error becomes even more significant when scaled by the nonlinear
metric function (Equation 3).
Mayerich |