PATENT CLAIM ANALYSIS

Application Number: 15741431
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-12
Patent Classification: ["345", "426000"]

Abstract:
An image generating method, includes: establishing a 3D scene model that includes a virtual 3D object, a virtual display screen and at least one sight point set; determining a plurality of intersection points between a plurality of virtual light paths from each sight point to a plurality of virtual object points on the surface of the virtual three dimensional object and the virtual display screen, all virtual light paths {l k 1 , l k 2 , . . . , l k S } corresponding to the virtual object point T k  intersect at the virtual object point T k ; wherein, 1≤k≤n, 1≤i≤S, S is the total number of established sight points, and the plurality of virtual object points are all located within the viewing angle range of the virtual display screen; forming S frames of rendered images, including: determining color parameters of a plurality of intersection points on the virtual display screen to obtain the i th  rendered image.

Claim (Index 8):
The device of  claim 7 , wherein the light ray simulation unit is specifically configured to simulate emitting uniformly a plurality of first light rays from the emitting sight point to the surface of the virtual three-dimensional object in the viewing angle range of the virtual display screen.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 86.0
- Lexical Diversity: 2.31579
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15522735', '14537173', '10182228', '13549730', '10956963']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6271359383760654
- 35 USC 102 Novelty (BERT): 0.4931685425299383
- Combined Prediction Score: 0.6137391987914527
- Mean Citation Score: 180.301844
- Max Citation Score: 191.6189
- Similarity Product: 134.17174059717058

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