PATENT CLAIM ANALYSIS

Application Number: 15888629
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-09
Patent Classification: ["382", "100000"]

Abstract:
A face recognition system is provided. The system includes a device configured to capture an input image of a subject. The system further includes a processor. The processor estimates, using a 3D Morphable Model (3DMM) conditioned Generative Adversarial Network, 3DMM coefficients for the subject of the input image. The subject varies from an ideal front pose. The processor produces, using an image generator, a synthetic frontal face image of the subject of the input image based on the input image and the 3DMM coefficients. An area spanning the frontal face of the subject is made larger in the synthetic image than in the input image. The processor provides, using a discriminator, a decision indicative of whether the subject of the synthetic image is an actual person. The processor provides, using a face recognition engine, an identity of the subject in the input image based on the synthetic and input images.

Claim (Index 16):
The computer-implemented method of  claim 13 , wherein the discriminator is pre-trained to minimize a classification loss between the input image and the synthetic frontal face image.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 2.56061
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15888747', '15888693', '15803292', '15637264', '15551247']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3335996671458749
- 35 USC 102 Novelty (BERT): 0.5697168070054072
- Combined Prediction Score: 0.3572113811318282
- Mean Citation Score: 295.377646
- Max Citation Score: 456.16296
- Similarity Product: 358.1266261239338

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test