chushuiniba / Joint-Bayesian

Implementation of joint bayesian model, written in python.

Joint-Bayesian

Implementation of Joint-Bayesian model for face verification, written in Python.

Usage

feature = preprocess(feature)
A, G = train(feature, labels)
ratio = verify(A, G, feat1, feat2)
# ratio is the log likelihood between two features.

Dependency

• NumPy

Reference

• Chen D, Cao X, Wang L, et al. Bayesian face revisited: A joint formulation[C]// European Conference on Computer Vision. Springer Berlin Heidelberg, 2012: 566-579.
• http://blog.csdn.net/cyh_24/article/details/49059475

Lincece

MIT