PATENT CLAIM ANALYSIS

Application Number: 15898365
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-07
Patent Classification: ["345", "419000"]

Abstract:
A method of generating an image file of a high resolution 3D garment model on a 3D body model, comprising the steps of: (i) acquiring at least three 2D images of a garment on a mannequin, wherein the at least three 2D images capture a 360° azimuthal angle range of view of the garment, including a texture of the garment; (ii) creating a simplified 3D garment model using the 2D images of the garment; (iii) simulating the smooth and simplified 3D garment model on the 3D body model; (iv) deforming and rendering the high-resolution garment texture on the simulated smooth and simplified 3D garment model on the 3D body model, and (v) generating an image file of the 3D body model, the image file including the deformed and rendered high-resolution garment texture, on the simulated smooth and simplified 3D garment model, on the 3D body model.

Claim (Index 2):
Method of  claim 1 , comprising the steps of, for each garment:\n (a) pre-computing explicit physics simulations of the garment on a finite number of body shapes; (b) storing the 2D texture morph fields of each garment layer and camera view, based on the physics simulations; (c) interpolating the garment morph for the specified body shape from examples, at rendering time.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 88.0
- Lexical Diversity: 2.94737
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15166823', '15003312', '15003284', '15003340', '14616247']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6533650475876511
- 35 USC 102 Novelty (BERT): 0.4916262448160302
- Combined Prediction Score: 0.6371911673104891
- Mean Citation Score: 230.87287200000003
- Max Citation Score: 238.92085
- Similarity Product: 179.09126525067688

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