PATENT CLAIM ANALYSIS

Application Number: 15949191
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-02
Patent Classification: ["348", "223100"]

Abstract:
A system, article, and method to perform light source estimation for image processing includes measuring a compactness of the distribution of the image data to select a light source.

Claim (Index 7):
The method of  claim 1  comprising determining eigenvectors of a covariance matrix of the data distribution and that represent the direction of the principal axes.

Metadata:
- Claim Count in Document: 65.0
- Percentile: 91.0
- Lexical Diversity: 1.33333
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14566081', '15425113', '14965820', '14841626', '14498271']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5580835876842022
- 35 USC 102 Novelty (BERT): 0.4977922143358216
- Combined Prediction Score: 0.5520544503493642
- Mean Citation Score: 173.367906
- Max Citation Score: 178.86338999999995
- Similarity Product: 113.48043545426306

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

Dataset: test