root_mean_square_distance_indexed_normalised_error¶

menpofit.error.root_mean_square_distance_indexed_normalised_error(shape, gt_shape, index1, index2)[source]

Computes the root mean square error between two shapes normalised by the distance measure between two points of the ground truth shape, i.e.

$\frac{\mathcal{F}(s,s^*)}{\mathcal{N}(s^*)}$

where

$\mathcal{F}(s,s^*) = \sqrt{\frac{1}{N}\sum_{i=1}^N(s_i-s^*_i)^2}$

where $$s$$ and $$s^*$$ are the final and ground truth shapes, respectively. $$s_i$$ and $$s^*_i$$ are the coordinates of the $$i$$’th point of the final and ground truth shapes, and $$N$$ is the total number of points. Finally, $$\mathcal{N}(s^*)$$ is a normalising function that returns the distance between two points of the ground truth shape.

Parameters
• shape (menpo.shape.PointCloud) – The input shape (e.g. the final shape of a fitting procedure).

• gt_shape (menpo.shape.PointCloud) – The ground truth shape.

• index1 (int) – The index of the first point.

• index2 (int) – The index of the second point.

Returns

error (float) – The computed root mean square normalised error.