Face recognition by fusing similarity probability
AssigneeNational Tsing Hua University
InventorsShang-Hong Lai, Chia-Te Liao
Life of this patent
Estimating the term…
Abstract
The invention discloses a face recognition method that reconstructs a 3D face model from a single face image, synthesizes a set of face images under different conditions (such as pose, light . . . ) via the 3D face model, feeds the set of face images under different conditions to the face recognition classifier for training, and making intermediate decisions whether to-be identified individual from a series of video frames is a legal system user by the face recognition classifier. Moreover, the method not only recognizes legal system users, but also rejects imposters, a function inspired by the idea of LLE. Finally, better reliability can be achieved by fusing temporal intermediate decisions.
Claims12
A face recognition method comprising:
- obtaining an original face image from a database and reconstructing a 3D face model for said original face image using a 3D morphable face model;
- providing synthesized face images from said 3D face model for training a face recognition classifier;
- receiving a plurality of video frames of a face, and obtaining a similarity probability for each said video frame from said face recognition classifier;
- and
- fusing said similarity probability for each said video frame by accumulation to obtain a face recognition confidence value, and if said face recognition confidence value is larger than a threshold, said face is recognized to be the same as the face from said original face image.
Dependencies are inferred from the claim text.