[D] How do you think about use face embeddings in conjunction with Elasticsearch for face matching / face similarity application that same as Microsoft’s celebslikeme.me ?
Now, my team is developing a application quite similarity as https://www.celebslike.me of Microsoft Corp before (2016). We seperate the asual canonical pipeline of face recognition system into 3 phrase:
- Phase 1: Face Detection + Face Aligment
- Phase 2: Face Embedding
- Phase 3: Face matching / Face recognion or something like face similarity.
At (3) we use the technical that is the embedded vectors got from a given model that ours is from Facenet in this case to conjunct with Elasticsearch for similarity search.
We are still implementing above solution for now but personally I want to research some nice solutions (if any) for my knowledge also help to improve our product better.
How do you think about another solution(s) for this phase (3) ?
Any ideas are welcome !