Automated morphological phenotyping using learned shape descriptors and functional maps: A novel approach to geometric morphometrics
Fig 6
Shape space differences between manually digitized and automated morphological quantification approaches.
The principal component (PC) scores PC1 and PC2 plotted in A and B are from the Procrustes aligned coordinates of the manually digitized landmarks. C and D are based on Procrustes-aligned pseudolandmarks obtained from auto3DGM analyses with 256 and 512 points, respectively. E and F are PCs obtained from our LSSD characterization. E is a morphospace derived from area-based differences in hominoid cuboid shape, while F is based on conformal shape differences.