A final point to note about linearly modeling facial shapes is how to constrain the subspace coordinates such that shapes generated using it remain valid. In the following image, instances of face shapes that lie within the subspace are shown for an increasing value of the coordinates in one of the directions of variability in increments of four standard deviations. Notice that for small values, the resulting shape remains face-like, but deteriorates as the values become too large.