PATENT CLAIM ANALYSIS

Application Number: 16065032
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-01
Patent Classification: ["345", "419000"]

Abstract:
The present disclosure relates to methods, apparatus or systems for calculating a 3D density map ( 33 ) for a 3D scene ( 32 ) in which significant objects have been annotated and associated with a significance weight. The 3D density map is computed in function of the location of the significant objects and the location of at least one virtual camera in the 3D scene. The space of the 3D scene is split in regions and a density is computed for each regions according to the significant weights. The 3D density map is transmitted to an external module configured to reorganize the scene according to the 3D density map.

Claim (Index 3):
The method according to  claim 2 , further comprising determining a fifth region within said second region, the fifth region being the part of the second region in a field of view of said virtual camera and determining a sixth region that is the complementary of the fifth region within the second region, a fifth density value being associated with the fifth region and a sixth density value being associated with the sixth region, the fifth density value being greater than or equal to the first density value and smaller than or equal to the second density value and the sixth density value being greater than or equal to the second density value.

Metadata:
- Claim Count in Document: 30.0
- Percentile: 94.0
- Lexical Diversity: 2.01754
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13589357', '12299909', '15845620', '15246040', '14089300']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6194353239204858
- 35 USC 102 Novelty (BERT): 0.4797461624462704
- Combined Prediction Score: 0.6054664077730644
- Mean Citation Score: 168.59473799999995
- Max Citation Score: 174.59863
- Similarity Product: 122.49942133066595

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

Dataset: test