PATENT CLAIM ANALYSIS

Application Number: 16215850
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-08
Patent Classification: ["345", "423000"]

Abstract:
Systems, apparatuses and methods may provide away to render edges of an object defined by multiple tessellation triangles. More particularly, systems, apparatuses and methods may provide a way to perform anti-aliasing at the edges of the object based on a coarse pixel rate, where the coarse pixels may be based on a coarse Z value indicate a resolution or granularity of detail of the coarse pixel. The systems, apparatuses and methods may use a shader dispatch engine to dispatch raster rules to a pixel shader to direct the pixel shader to include, in a tile and/or tessellation triangle, one more finer coarse pixels based on a percent of coverage provided by a finer coarse pixel of a tessellation triangle at or along the edge of the object.

Claim (Index 13):
The least one non-transitory computer readable storage medium of  claim 11 , wherein the set of instructions, when executed, cause the computing device to:\n dispatch, by a shader dispatch engine, one more raster rules to a pixel shader, wherein the shader dispatch engine includes a helper pixel; shade, by the pixel shader, the helper pixel to a helper pixel color based on one more of the pixel color weight of the finer coarse pixels or the raster rules; and shade, by the pixel shader, the finer coarse pixels of the first tessellation triangle, and using the helper pixel color, shading the complement alternative pixels of the second tessellation triangle.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 98.0
- Lexical Diversity: 2.10769
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15488641', '15687421', '14319130', '15494696', '15483701']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6212361847842117
- 35 USC 102 Novelty (BERT): 0.5561792321667388
- Combined Prediction Score: 0.6147304895224645
- Mean Citation Score: 244.514378
- Max Citation Score: 407.3276
- Similarity Product: 347.74733998503683

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

Dataset: test