PATENT CLAIM ANALYSIS

Application Number: 16034275
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-05
Patent Classification: ["345", "633000"]

Abstract:
While many augmented reality systems provide “see-through” transparent or translucent displays upon which to project virtual objects, many virtual reality systems instead employ opaque, enclosed screens. Indeed, eliminating the user's perception of the real-world may be integral to some successful virtual reality experiences. Thus, head mounted displays designed exclusively for virtual reality experiences may not be easily repurposed to capture significant portions of the augmented reality market. Various of the disclosed embodiments facilitate the repurposing of a virtual reality device for augmented reality use. Particularly, by anticipating user head motion, embodiments may facilitate scene renderings better aligned with user expectations than naïve renderings generated within the enclosed field of view. In some embodiments, the system may use procedural mapping methods to generate a virtual model of the environment. The system may then use this model to supplement the anticipatory rendering.

Claim (Index 14):
The computer-implemented method of  claim 9 , wherein the method further comprises computing Nearest Visible Projected Pixel (NVPP) distances based upon vertices of the transformed 3D mesh.

Metadata:
- Claim Count in Document: 77.0
- Percentile: 95.0
- Lexical Diversity: 1.72527
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15406652', '15406642', '15054082', '14941448', '15650649']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6713691201629065
- 35 USC 102 Novelty (BERT): 0.5650432203744226
- Combined Prediction Score: 0.6607365301840581
- Mean Citation Score: 235.356394
- Max Citation Score: 372.87726
- Similarity Product: 355.8232956515944

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

Dataset: test