PATENT CLAIM ANALYSIS

Application Number: 16004348
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-12
Patent Classification: ["345", "422000"]

Abstract:
The present disclosure describes a novel way of fast generation of physically correct reflections of virtual objects, augmented into real-world image. The method is based on global illumination ray tracing (aka path tracing) at a low computational complexity.

Claim (Index 1):
A computer based method for fast generation of path traced reflections of a virtual object, augmented into a real world image, utilizing a raster graphics pipeline, the method comprising the following steps:\n a. identifying reflecting area in the real world image for creating reflection of an augmented object; b. shooting a projection of primary rays from a camera onto the identified reflective area in the real world image, generating a cluster of primary hit points; c. shooting projection of carrier rays at the augmented object through the cluster of generated primary hit points,\n whereas only those carrier rays that intersect the primary hit points are used for generating secondary rays; \n d. generating a render target texture which is an intersection result between secondary rays and the augmented object; e. revealing and sampling light values in the render target texture at the points of intersection between secondary rays and augmented object; f. feeding the sampled light values at the intersection points into their respective primary hit points; and g. reconstructing reflection of the augmented object on the identified reflective area, from the fed light values.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 94.0
- Lexical Diversity: 1.16216
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15615037', '15640464', '15640466', '15640467', '15659618']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7454907694383024
- 35 USC 102 Novelty (BERT): 0.5898571518004193
- Combined Prediction Score: 0.7299274076745141
- Mean Citation Score: 472.171626
- Max Citation Score: 485.37466
- Similarity Product: 402.7697415674782

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

Dataset: test