PATENT CLAIM ANALYSIS

Application Number: 16444431
Application Type: Utility
Filing Date: 2019-06
Publication Date: 2019-10
Patent Classification: ["345", "426000"]

Abstract:
A path tracing system in which the traversal task is distributed between one global acceleration structure, which is central in the system, and multiple local acceleration structures, distributed among cells, of high locality and of autonomous processing. Accordingly, the centrality of the critical resource of accelerating structure is reduced, lessening bottlenecks, while improving parallelism.

Claim (Index 1):
A system for path tracing big data, employing distributed acceleration structures, comprising:\n At least one general-purpose processors, at least one graphics processing unit having raster pipeline, data of a 3D scene; wherein in run time for generating primary hit points a) data structure of cells is generated; b) the data of 3D scene is mapped onto cells; c) a global acceleration structure of cells is constructed; d) at each cell a local acceleration structure is constructed; e) primary rays are generated by rendering the 3D scene with raster pipeline; f) the global acceleration structure of cells is traversed for each primary ray, to find a cell of intersection; g) a hit point is registered at the cell of intersection; and for generating secondary hit points a) locally at each cell secondary rays are shot originating at each primary hit point, or at each incoming ray; b) locally at each cell the local acceleration structure is traversed by each secondary ray seeking for hits with local objects;\n wherein in event of hit, radiance at the point of intersection is sampled, and diffuse radiance at ray's origin is calculated and registered; \n wherein in event of no hit, the global acceleration structure is traversed seeking the next cell of hit for the ray.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 100.0
- Lexical Diversity: 1.53659
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15984359', '16444464', '14479336', '16004348', '14479334']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6510383678149224
- 35 USC 102 Novelty (BERT): 0.549040391035305
- Combined Prediction Score: 0.6408385701369607
- Mean Citation Score: 296.947142
- Max Citation Score: 395.5787
- Similarity Product: 310.99595214014647

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