PATENT CLAIM ANALYSIS

Application Number: 16272615
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["345", "419000"]

Abstract:
In some embodiments, the present invention provides for a computer system that may include a camera component configured to acquire a visual content, where the visual content includes a plurality of frames having a visual representation of a person's face; and a processor configured to: train a face detection regressor with a synthetic face model database to obtain a face detection trained regressor; apply, for each frame, the face detection trained regressor to detect or to track the face based on facial features, local features, and a pre-defined hyperparameter; construct an intermediate multi-dimensional face model; apply machine learning to determine features of an intermediate multi-dimensional head model; construct a multi-dimensional avatar; and utilize the multi-dimensional avatar to perform an activity associated with the person.

Claim (Index 1):
A method, comprising:\n training, by at least one processor, at least one face detection regressor with at least one synthetic face model database to obtain at least one face detection trained regressor; wherein the at least one synthetic face model database comprises a plurality of facial features; wherein each facial feature is identified by a pre-defined set of parameters; obtaining, by the at least one processor, a plurality of frames having a visual representation of a face of at least one person; extracting, by the at least one processor, a plurality of local features from each frame of the plurality of frames; applying, by the at least one processor, for each frame, the at least one face detection trained regressor to the plurality of local features to detect or to track a presence of a face of a particular individual, based, at least in part, on:\n i) the plurality of facial features, \n ii) the plurality of local features, and \n iii) at least one pre-defined hyperparameter; \n constructing, by the at least one processor, an intermediate multi-dimensional face model of the face of the particular individual based on the detected or tracked presence of the face of the particular individual; applying, by the at least one processor, machine learning to determine a plurality of features of an intermediate multi-dimensional head model of the particular individual based on the detected or tracked presence of the face of the particular individual; constructing, by the at least one processor, at least one multi-dimensional avatar of the particular individual based, at least in part, on:\n i) the intermediate multi-dimensional face model of the particular individual, and \n ii) the plurality of features of the intermediate multi-dimensional head model of the particular individual; and \n utilizing, by the at least one processor, the at least one multi-dimensional avatar of the particular individual to perform at least one activity associated with the particular individual.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 99.0
- Lexical Diversity: 1.93056
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15956450', '15962347', '14517758', '16119056', '15881353']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6252058714109886
- 35 USC 102 Novelty (BERT): 0.5073516637191892
- Combined Prediction Score: 0.6134204506418086
- Mean Citation Score: 198.14062
- Max Citation Score: 303.2181
- Similarity Product: 256.51414947642087

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

Dataset: test