PATENT CLAIM ANALYSIS

Application Number: 15934223
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["345", "441000"]

Abstract:
When performing conservative rasterisation in a graphics processing pipeline, modified edge information that accounts for an error in the dimensions of a primitive is determined by a primitive set-up stage. That modified edge information is then used by a rasterisation stage to determine whether the primitive covers one or more sampling points associated with pixels to be displayed. The same modified edge information can also be used to determine if the pixels are fully covered by the primitive irrespective of any rounding effects (errors) in the position of the (vertices of the) primitive.

Claim (Index 6):
The method of  claim 1 , further comprising:\n using modified edge information for a primitive that represents modified primitive edges representing an expanded version of a primitive to perform inner coverage testing for conservative rasterisation; and wherein: determining whether the primitive covers at least one sampling point of the group of one or more sampling points representing the region of the render output comprises: testing the modified primitive edges using a modified group of one or more sampling points, wherein the modified group of one or more sampling points comprises an offset sampling point having a position that has been modified as compared to the position that the offset sampling point would have in an unmodified group of one or more sampling points that would otherwise be used for the purpose of outer coverage testing.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 90.0
- Lexical Diversity: 1.62903
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13907559', '13907550', '14511540', '14056727', '15182302']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6980916633945522
- 35 USC 102 Novelty (BERT): 0.5352815922693127
- Combined Prediction Score: 0.6818106562820283
- Mean Citation Score: 344.116464
- Max Citation Score: 383.00177
- Similarity Product: 318.0689100721919

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