PATENT CLAIM ANALYSIS

Application Number: 15989367
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-11
Patent Classification: ["345", "422000"]

Abstract:
Examples described herein relate to rendering a full resolution image using a reduced resolution depth pre-pass to pre-populate depth data for culling. A computing device may include a memory, a graphics processing unit (GPU) including a hierarchical depth buffer or full resolution depth data, and at least one processor. The computer device may render an occlusion geometry at a reduced resolution. The computer device may be configured to sample a depth value of pixels of the occlusion geometry. The computer device may pre-populate the GPU depth data based on the sampled depth values. The computer device may cull at least one tile or pixel from a full resolution rendering process in response to a depth of the at least one tile or pixel being further than a corresponding depth value in the GPU depth data. The computer device may perform the full resolution rendering process on remaining tiles or pixels.

Claim (Index 14):
The computing device of  claim 12 , wherein the processor is configured to:\n determine a respective slope between a sampled depth value of a pixel and a sampled depth value of each neighboring pixel; determine a depth value along the respective slope at a pixel opposite each neighboring pixel; and set a depth value of the GPU depth data corresponding to the pixel to the furthest depth value of the sampled depth value of the pixel, the sampled depth value of each neighboring pixel, and the determined depth value along each respective slope.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 93.0
- Lexical Diversity: 2.23611
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12013256', '15268500', '11073384', '14993339', '14576036']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.693763145096615
- 35 USC 102 Novelty (BERT): 0.5035056297731493
- Combined Prediction Score: 0.6747373935642683
- Mean Citation Score: 257.26356
- Max Citation Score: 266.05557000000005
- Similarity Product: 194.0718376069504

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

Dataset: test