PATENT CLAIM ANALYSIS

Application Number: 16509091
Application Type: Utility
Filing Date: 2019-07
Publication Date: 2019-10
Patent Classification: ["382", "118000"]

Abstract:
Face model matrix training method, apparatus, and storage medium are provided. The method includes: obtaining a face image library, the face image library including k groups of face images, and each group of face images including at least one face image of at least one person, k>2, and k being an integer; separately parsing each group of the k groups of face images, and calculating a first matrix and a second matrix according to parsing results, the first matrix being an intra-group covariance matrix of facial features of each group of face images, and the second matrix being an inter-group covariance matrix of facial features of the k groups of face images; and training face model matrices according to the first matrix and the second matrix.

Claim (Index 38):
The storage medium according to  claim 37 , wherein the face image library comprises k groups of face images, k being an integer greater than 2; and calculating the first matrix and the second matrix according to the parsing results comprises:\n initializing a first matrix S g  and a second matrix S s ; calculating H according to S s , wherein H=S s \u22121 , and calculating L according to S g  and S s , wherein L=\u2212(kS g +S s ) \u22121 S g S s \u22121 ; obtaining a high-dimensional feature vector x i  of a face image of an i th  person and a high-dimensional feature vector x j  of a face image of a j th  person in each group of face images, wherein 0<i\u2264n, 0<j\u2264n, and i\u2260j, and n is a quantity of persons in one group of face images; calculating g i  according to H, L, S g , and x i , wherein g i =\u03a3 i=1 k S g (H+kL)x i , and calculating S ij  according to H, L, x i , and x j , wherein S ij =x j +\u03a3 i=1 k S s Lx i ; updating S g  according to g i , wherein S g = con \ue8a0 ( g ) = k - 1 \ue89e \u2211 i \ue89e g i \ue89e g i T , and updating S s  according to S ij , wherein S s = con \ue8a0 ( s ) = k - 1 \ue89e \u2211 i \ue89e \u2211 j \ue89e S ij \ue89e S ij T , g i T  i is a transposed vector of g i , and S ij T  is a transposed vector of S ij ;\n obtaining S g  and S s , if S g  and S s  are convergent; and \n re-calculating H according to S s  and re-calculating L according to S g  and S s , if S g  and S s  are not convergent.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 100.0
- Lexical Diversity: 2.67925
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15703826', '13084406', '13239997', '13355335', '12402761']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3477773249281807
- 35 USC 102 Novelty (BERT): 0.5803853659227789
- Combined Prediction Score: 0.3710381290276405
- Mean Citation Score: 266.923878
- Max Citation Score: 483.66867
- Similarity Product: 414.6155571435178

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test