  Longitudinal tracking of skin lesions - finding correspondence, changes in
morphology, and texture - is beneficial to the early detection of melanoma.
However, it has not been well investigated in the context of full-body imaging.
We propose a novel framework combining geometric and texture information to
localize skin lesion correspondence from a source scan to a target scan in
total body photography (TBP). Body landmarks or sparse correspondence are first
created on the source and target 3D textured meshes. Every vertex on each of
the meshes is then mapped to a feature vector characterizing the geodesic
distances to the landmarks on that mesh. Then, for each lesion of interest
(LOI) on the source, its corresponding location on the target is first coarsely
estimated using the geometric information encoded in the feature vectors and
then refined using the texture information. We evaluated the framework
quantitatively on both a public and a private dataset, for which our success
rates (at 10 mm criterion) are comparable to the only reported longitudinal
study. As full-body 3D capture becomes more prevalent and has higher quality,
we expect the proposed method to constitute a valuable step in the longitudinal
tracking of skin lesions.
