PATENT CLAIM ANALYSIS

Application Number: 15861826
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-09
Patent Classification: ["345", "473000"]

Abstract:
A virtual reality-based apparatus and method to generate a 3D human face model includes, storage of a 3D face model that is an existing 3D face model or a mean-shape face model in at least a neutral expression. A point cloud of the face of the first user is generated based on the plurality of color images and depth information of the face of the first user. A first 3D face model of the first user having neutral expression is generated by a shape-based model-fitment on the stored 3D face model. A shape of the first 3D face model is refined based on a difference between the first 3D face model, the shape-based model-fitment, and the generated point cloud. The display of the refined first 3D face model is controlled to exhibit a minimum deviation from the shape and appearance of the face of the first user.

Claim (Index 19):
The method according to  claim 19 , further comprising:\n applying, by the circuitry, a deformation to the evaluated face model residue to derive a deformed face model residue for the first 3D face model of the face of the first user; and combining, by the circuitry, the deformed face model residue with the first 3D face model of the face of the first user to obtain the refined first 3D face model of the face of the first user.

Metadata:
- Claim Count in Document: 34.0
- Percentile: 86.0
- Lexical Diversity: 2.62712
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14070481', '15717066', '14882624', '14443337', '15415183']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6167613880503298
- 35 USC 102 Novelty (BERT): 0.4692803903274425
- Combined Prediction Score: 0.602013288278041
- Mean Citation Score: 150.804056
- Max Citation Score: 151.95627
- Similarity Product: 112.44073052965342

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