PATENT CLAIM ANALYSIS

Application Number: 16101066
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2020-02
Patent Classification: ["null", "null"]

Abstract:
A hardware-based traversal coprocessor provides acceleration of tree traversal operations searching for intersections between primitives represented in a tree data structure and a ray. The primitives may include opaque and alpha triangles used in generating a virtual scene. The hardware-based traversal coprocessor is configured to determine primitives intersected by the ray, and return intersection information to a streaming multiprocessor for further processing. The hardware-based traversal coprocessor is configured to omit reporting of one or more primitives the ray is determined to intersect. The omitted primitives include primitives which are provably capable of being omitted without a functional impact on visualizing the virtual scene.

Claim (Index 28):
The system of  claim 1 , wherein the circuitry is configured to receive, from a multiprocessor, a query identifying the at least one node and the ray information, the plurality of primitives include opaque primitives and alpha primitives, and the reported two or more of the intersected primitives include a single opaque primitive determined to intersect the ray and a plurality of alpha primitives determined to intersect the ray.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 96.0
- Lexical Diversity: 1.67692
- Patent Class: nan
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14035899', '14831726', '14662090', '12555678', '12571768']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5801390421372925
- 35 USC 102 Novelty (BERT): 0.5107792188711056
- Combined Prediction Score: 0.5732030598106739
- Mean Citation Score: 280.265662
- Max Citation Score: 291.93384
- Similarity Product: 208.9660823636341

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