PATENT CLAIM ANALYSIS

Application Number: 16277693
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["345", "589000"]

Abstract:
Methods and systems are disclosed for measuring pixel-by-pixel luminosity and/or chrominance variations on a display, encoding and/or storing the measurements as a set of global and/or pixel-by-pixel correction factors, and/or digitally manipulating imagery with the inverse effect as the measured variations, such that the appearance of visual artifacts caused by the variations is reduced. These methods and systems may be used, for example, as part of the production process for virtual reality headsets, as well as in other applications that make high-fidelity use of displays exhibiting such artifacts (e.g., cell phones, watches, augmented reality displays, and the like).

Claim (Index 8):
The method of  claim 1 , further comprising:\n causing at least a subset of the pixels to emit light that forms a known grid pattern on the display panel; sensing, via the optical sensor, the grid pattern; and analyzing the sensed grid pattern to solve for geometric lens eccentricities of a lens associated with the optical sensor, wherein estimating energy emitted for each of the pixels comprises estimating energy emitted for each of the pixels based at least in part on the determined geometric lens eccentricities of the lens.

Metadata:
- Claim Count in Document: 22.0
- Percentile: 99.0
- Lexical Diversity: 1.55556
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15239982', '13935688', '14949174', '14173599', '13296795']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5942857700741108
- 35 USC 102 Novelty (BERT): 0.5078553879609332
- Combined Prediction Score: 0.585642731862793
- Mean Citation Score: 148.39606700000004
- Max Citation Score: 279.14273
- Similarity Product: 218.87905795117013

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