PATENT CLAIM ANALYSIS

Application Number: 15766023
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["345", "800000"]

Abstract:
Near-to-eye displays allow a user to be presented with images that are either augmented to address defects or aberrations within their vision or provide additional information. However, an acquired image typically contains content at different depths and absent depth information image processing applied to the acquired image may discount or apply an image modification that reduces visibility of an object. Accordingly, it would be beneficial for such near-to-eye displays to exploit depth information within the image processing and/or generate depth maps allowing images presented to the user to account for depth. It would be further beneficial for such enhancements to be compatible with the evolving low weight, low volume, low complexity, and low cost near-to-eye display systems. It would be further beneficial to provide a user with other non-visual stimuli based upon depth information within the image.

Claim (Index 8):
The method according to  claim 1 , wherein\n at least one of processing the acquired image data to generate the augmented image data and establishing the depth parameter comprises at least the steps of:\n defining a plurality of regions within image content acquired by an image acquisition system; \n establishing for each region of the plurality of regions a defocus statistic which is calculated based on a characterization of the image acquisition system; and \n defining a depth map for the plurality of regions by deriving a plurality of depths in dependence upon the defocusing statistics for the plurality of regions.

Metadata:
- Claim Count in Document: 10.0
- Percentile: 91.0
- Lexical Diversity: 1.8375
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15404700', '15135805', '15799075', '15361185', '13916806']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6602766845717549
- 35 USC 102 Novelty (BERT): 0.4941349419996047
- Combined Prediction Score: 0.6436625103145399
- Mean Citation Score: 183.926126
- Max Citation Score: 202.90755
- Similarity Product: 135.64533115417956

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