PATENT CLAIM ANALYSIS

Application Number: 15954523
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["345", "421000"]

Abstract:
In one embodiment, a computer system may determine an orientation in a 3D space based on sensor data generated by a virtual reality device. The system may generate ray footprints in the 3D space based on the determined orientation. For at least one of the ray footprints, the system may identify a corresponding number of subsamples to generate for that ray footprint and generate one or more coordinates in the ray footprint based on the corresponding number of subsamples. The system may determine visibility of one or more objects defined within the 3D space by projecting a ray from each of the one or more coordinates to test for intersection with the one or more objects. The system may generate an image of the one or more objected based on the determined visibility of the one or more objects.

Claim (Index 2):
The method of  claim 1 , further comprising:\n accessing an importance map specified by an application through an application programming interface; wherein the importance map comprises a plurality of importance values that correspond to the plurality of ray footprints, respectively; and wherein the corresponding number of subsamples to generate for the ray footprint is identified based on a first importance value of the plurality of importance values defined by the importance map.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 91.0
- Lexical Diversity: 2.51724
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15954506', '15954513', '15954530', '15648308', '15088418']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6421501766827844
- 35 USC 102 Novelty (BERT): 0.5092344454488975
- Combined Prediction Score: 0.6288586035593957
- Mean Citation Score: 235.420006
- Max Citation Score: 307.61636
- Similarity Product: 255.24007297371864

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

Dataset: test