Facebook Face Recognition
What is it?
It is a machine learning system that analyzes the pixels of a face in an image and assigns a unique template to it.
97% accurate according to FB
FB user turns on "face recognition"
Someone tags you in a photo
Face analysis
Template created
New photo uploaded
Comparison: faces
vs templates
Match
Tag suggestion
How does it work?
- Someone pretending to be you
- Identifying criminals
- What if you’re caught in the background of a photo by happenstance?
Pros
Cons
- Finding potential terrorists
- No key or password that can be stolen or lost.
Safety and Security
Speed and accuracy
- High implementation costs
- Data storage and use of memory
- Changes in appearance
- First, look at a picture and find all the faces in it
Challenges and Machine Learning Steps
Make it black and white. Pixels and vectors
2. Second, focus on each face and be able to understand that even if a face is turned in a weird direction or in bad lighting, it is still the same person.
68 landmarks and then rotate and scale
3. Third, be able to pick out unique features of each face
Embedding (128 measurements)
4. Finally, compare the unique features of that face to all the other's in the database
any basic machine learning classification algorithm
Facebook Face Recognition
By Alejandro Casamajor
