Build a point vs. neighbor triangulation list in 2d uv coordinate space. Then evaluate the psuedo-cone formed by each point -> neighbors. Skinny cones would be an indication of an outlier where the point was moved substantially relative to it's neighbor's positions.
Build a point vs. neighbor triangulation list in 2d uv coordinate space.
Then evaluate the psuedo-cone formed by each point -> neighbors.
Skinny cones would be an indication of an outlier where the point was moved
substantially relative to it's neighbor's positions.

UASLab/ImageAnalysis