PATENT CLAIM ANALYSIS

Application Number: 15950706
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["345", "672000"]

Abstract:
Automultiscopic displays enable glasses-free 3D viewing by providing both binocular and motion parallax. Within the display field of view, different images are observed depending on the viewing direction. When moving outside the field of view, the observed images may repeat. Light fields produced by lenticular and parallax-barrier automultiscopic displays may have repetitive structure with significant discontinuities between the fields of view. This repetitive structure induces visual artifacts in the form of view discontinuities, depth reversals, and extensive disparities. To overcome this problem, a method modifies the presented light field automultiscopic image content and makes it more repetitive. In the method, a light field is refined using global and local shearing and then the repeating fragments are stitched. The method reduces the discontinuities in the displayed light field and leads to visual quality improvements. Benefits of the method are shown using an automultiscopic display with a parallax barrier and lenticular prints.

Claim (Index 19):
The apparatus of  claim 17 , the instructions further causing the apparatus to shear the multi-view automultiscopic image content globally including repositioning a plurality of views of the multi-view automultiscopic image content.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 1.77419
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14613924', '14531548', '15267874', '14732345', '15615413']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6329053551072361
- 35 USC 102 Novelty (BERT): 0.6203165582433152
- Combined Prediction Score: 0.6316464754208441
- Mean Citation Score: 259.548668
- Max Citation Score: 585.1274400000002
- Similarity Product: 510.98297896370906

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

Dataset: test