PATENT CLAIM ANALYSIS

Application Number: 15985882
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-12
Patent Classification: ["345", "426000"]

Abstract:
Rendering glasses with shadows is disclosed, including: generating a face image corresponding to an image of a set of images based at least in part on a face model, wherein the set of images is associated with a user's face; generating a face with shadows image corresponding to the image based at least in part on shadows casted by a glasses model on the face model; generating a shadow transform based at least in part on a difference determined based at least in part on the face image and the face with shadows image; generating a shadowed image based at least in part on applying the shadow transform to the image; and presenting the shadowed image including by overlaying a glasses image associated with the glasses model over the shadowed image.

Claim (Index 7):
The system of  claim 2 , wherein to generate the shadow transform based at least in part on the difference determined based at least in part on the face image and the face with shadows image comprises to:\n generate a difference image by subtracting the face image from the face with shadows image; invert colors associated with the difference image to obtain an inverted difference image; and determine the inverted difference image as the shadow transform.

Metadata:
- Claim Count in Document: 45.0
- Percentile: 93.0
- Lexical Diversity: 3.11111
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14603207', '15284247', '14534627', '14970363', '13830483']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6366008222330687
- 35 USC 102 Novelty (BERT): 0.5695374363601831
- Combined Prediction Score: 0.6298944836457802
- Mean Citation Score: 269.76441800000003
- Max Citation Score: 479.96097
- Similarity Product: 364.36558800935273

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