PATENT CLAIM ANALYSIS

Application Number: 15913480
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["345", "423000"]

Abstract:
This disclosure describes a method and apparatus for performing tessellation in a graphics process. A graphics processing unit may be configured to determine tessellation factors for a first patch of the graphics data, determine, based on the tessellation factors, that a first edge of an outermost ring of the first patch will produce only degenerated sub-primitives, and skip performing tessellation for the first edge. A graphics processing unit may determine that a second edge of the outermost ring of the first patch will produce at least some normal sub-primitives, and perform tessellation for the second edge to produce output primitives.

Claim (Index 4):
The method of  claim 3 , wherein the first edge is in the u direction or the v direction in a (u,v) coordinate system, the method further comprising:\n determining that the first edge of the outermost ring of the first patch will produce at least some degenerated sub-primitives in the case that the patch type is quad or triangle, the partitioning type is fractional odd, the respective outer tessellation factor for the first edge is greater than 1.0, and that the inner tessellation factor for the u direction is 1.0 or the inner tessellation factor for the v direction is 1.0.

Metadata:
- Claim Count in Document: 67.0
- Percentile: 90.0
- Lexical Diversity: 2.16
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15174035', '13842017', '15173844', '14791626', '13599645']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6845093962132154
- 35 USC 102 Novelty (BERT): 0.5178769694014553
- Combined Prediction Score: 0.6678461535320394
- Mean Citation Score: 306.936544
- Max Citation Score: 328.50488
- Similarity Product: 250.0048748473549

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

Dataset: test