PATENT CLAIM ANALYSIS

Application Number: 15876164
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["345", "426000"]

Abstract:
A method for processing a 3D scene and a corresponding apparatus are disclosed. A 3D position of at least one-point light source of the 3D scene is determined from information representative of 3D geometry of the scene. Then, an occlusion attenuation coefficient assigned to the at least one-point light source is calculated from an occluded area and an unoccluded area, the occluded area and the unoccluded area only differing in that the at least one-point light source is occluded by an object in the occluded area and the at least one-point light source is not occluded in the unoccluded area. Color intensity of at least one pixel of the 3D scene can thus be modified using at least the occlusion attenuation coefficient.

Claim (Index 2):
The method according to  claim 1 , wherein for determining more than one-point light source, determining a 3D position of a point light source and calculating an occlusion attenuation coefficient assigned to said point light source are iterated for each point light source to determine, wherein determining a 3D position of a point light source further comprises discarding pixels matched when determining a 3D position of previous estimated point light sources.

Metadata:
- Claim Count in Document: 19.0
- Percentile: 86.0
- Lexical Diversity: 2.32727
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15059818', '12142176', '11936416', '12177717', '13831092']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6369806067992674
- 35 USC 102 Novelty (BERT): 0.5179173461529991
- Combined Prediction Score: 0.6250742807346407
- Mean Citation Score: 243.620088
- Max Citation Score: 298.7663
- Similarity Product: 232.2671950011253

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

Dataset: test