Our application is for communications efficient set reconciliation to convert Bitcoin's quadratic-overhead transaction gossip protocol (O(txn*peers)) to effectively linear (O(txn)), though the primary academic work that our work was based on were concerned with fuzzy extractors for privacy preserving (and encryption key generating) biometrics.
This is old research, which seems to be a recreation of the work of Sutcu et al. among others.
I did my masters thesis on this.
But maybe I am wrong, maybe there are enough bits of information in a randomly lit image of a face.
Or is the research for patent purposes only?