PATENT CLAIM ANALYSIS

Application Number: 16375648
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["345", "426000"]

Abstract:
Ray tracing systems process rays through a 3D scene to determine intersections between rays and geometry in the scene, for rendering an image of the scene. Ray direction data for a ray can be compressed, e.g. into an octahedral vector format. The compressed ray direction data for a ray may be represented by two parameters (u,v) which indicate a point on the surface of an octahedron. In order to perform intersection testing on the ray, the ray direction data for the ray is unpacked to determine x, y and z components of a vector to a point on the surface of the octahedron. The unpacked ray direction vector is an unnormalised ray direction vector. Rather than normalising the ray direction vector, the intersection testing is performed on the unnormalised ray direction vector. This avoids the processing steps involved in normalising the ray direction vector.

Claim (Index 7):
A ray tracing system for use in rendering an image of a scene, the ray tracing system comprising:\n the ray compression module of  claim 1 ; the memory configured to store the compressed ray direction data for the ray; and intersection testing logic configured to:\n partially decompress the compressed ray direction data for the ray to determine partially decompressed ray direction data which is not fully decompressed, and \n perform intersection testing on the ray in the scene using the partially decompressed ray direction data for the ray; \n wherein the ray tracing system is configured to use results of the intersection testing for rendering the image of the scene.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 100.0
- Lexical Diversity: 2.23611
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15622315', '12555678', '15705976', '12563791', '15138868']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6468249453175392
- 35 USC 102 Novelty (BERT): 0.5753266658028954
- Combined Prediction Score: 0.6396751173660749
- Mean Citation Score: 291.755034
- Max Citation Score: 474.2935
- Similarity Product: 413.6262706521154

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

Dataset: test