PATENT CLAIM ANALYSIS

Application Number: 16052065
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-11
Patent Classification: ["345", "421000"]

Abstract:
Rendering systems that can use combinations of rasterization rendering processes and ray tracing rendering processes are disclosed. In some implementations, these systems perform a rasterization pass to identify visible surfaces of pixels in an image. Some implementations may begin shading processes for visible surfaces, before the geometry is entirely processed, in which rays are emitted. Rays can be culled at various points during processing, based on determining whether the surface from which the ray was emitted is still visible. Rendering systems may implement rendering effects as disclosed.

Claim (Index 8):
The machine-implemented method of  claim 1 , wherein the status data comprises a per-sample generation ID for each of the sample positions, wherein the method comprises:\n when the rasterization operations determine that a new element of geometry is: (i) present at a sample position, and (ii) not hidden at that sample position by a previously processed element of geometry:\n emitting a primary ray from the new element of geometry; \n performing said updating the status data by incrementing the generation ID for the sample position; and \n assigning the generation ID to the emitted ray; \n wherein said using the status data for a particular ray to determine whether the particular ray is still current comprises determining whether the generation ID assigned to the particular ray matches the generation ID for the sample position associated with the particular ray.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 96.0
- Lexical Diversity: 1.47692
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14570314', '15385639', '14644830', '14440021', '15174811']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7011229454748709
- 35 USC 102 Novelty (BERT): 0.5271886315592433
- Combined Prediction Score: 0.6837295140833082
- Mean Citation Score: 295.409188
- Max Citation Score: 350.88138
- Similarity Product: 274.4322195992732

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

Dataset: test