PATENT CLAIM ANALYSIS

Application Number: 15934521
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-06
Patent Classification: ["345", "423000"]

Abstract:
A three-dimensional model (e.g., motion capture model) of a user is generated from captured images or captured video of the user. A machine learning network may track poses and expressions of the user to generate and refine the three-dimensional model. Refinement of the three-dimensional model may provide more accurate tracking of the user's face. Refining of the three-dimensional model may include refining the determinations of poses and expressions at defined locations (e.g., eye corners and/or nose) in the three-dimensional model. The refining may occur in an iterative process. Tracking of the three-dimensional model over time (e.g., during video capture) may be used to generate an animated three-dimensional model (e.g., an animated puppet) of the user that simulates the user's poses and expressions.

Claim (Index 18):
The method of  claim 15 , wherein (a) comprises refining the determination of the pose of the face of the user, the one or more muscle activations of the face of the user, and the one or more identity parameters for the user's face using the second feature vectors and (b) comprises refining the generated three-dimensional model of the user's face based on the refined pose, muscle activations, and identity parameters for the user's face, and wherein (a) and (b) are repeated a selected number of times.

Metadata:
- Claim Count in Document: 42.0
- Percentile: 90.0
- Lexical Diversity: 2.15152
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['10444278', '13711639', '13168389', '12811237', '14882624']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6466105447838019
- 35 USC 102 Novelty (BERT): 0.4871093451561045
- Combined Prediction Score: 0.6306604248210321
- Mean Citation Score: 159.433628
- Max Citation Score: 178.63208
- Similarity Product: 121.13280728509426

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