PATENT CLAIM ANALYSIS

Application Number: 15875149
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-08
Patent Classification: ["382", "154000"]

Abstract:
Examples of various method and systems are provided for information extraction from scene information. 2D image information can be generated from 2D images of the scene that are overlapping at least part of one or more object(s). The 2D image information can be combined with 3D information about the scene incorporating at least part of the object(s) to generate projective geometry information. Clustered 3D information associated with the object(s) can be generated by partitioning and grouping 3D data points present in the 3D information. The clustered 3D information can be used to provide, e.g., measurement information, dimensions, geometric information, and/or topological information about the object(s). Segmented 2D information can also be generated from the 2D image information. Validated 2D and 3D information can be produced by cross-referencing between the projective geometry information, clustered 3D information, and/or segmented 2D image information, and used to label the object(s) in the scene.

Claim (Index 18):
A method of generating information about one or more objects of interest in a scene comprising:\n a. providing 2D image information from a plurality of overlapping 2D images of a scene, wherein at least some of the plurality of overlapping 2D images:\n i. include all or part of one or more objects of interest, and \n ii. are overlapping as to all or part of the one or more objects of interest, thereby providing 2D image information incorporating all or part of the one or more objects of interest; \n b. providing 3D information generated from the scene, wherein the 3D information from the scene incorporates information about all or part of the one or more objects of interest, thereby providing 3D information that incorporates all or part the one or more objects of interest; c. generating projective geometry information by combining at least some of the 2D image information incorporating all or part of the one or more objects of interest and at least some of the 3D information incorporating all or part of the one or more objects of interest, thereby establishing a plurality of relationships between 3D data points derived from either or both of the 2D image information incorporating all or part of the one or more objects of interest and 3D image information incorporating all or part of the one or more objects of interest; d. generating clustered 3D information by clustering the 3D information incorporating all or part of the one or more objects of interest to partition and group 3D data points present in the 3D information, wherein the 3D data points are associated with all or part of the one or more objects of interest, thereby providing clustered 3D information associated with all or part of the one or more objects of interest; e. generating segmented 2D image information by segmenting the 2D image information incorporating all or part of the one or more objects of interest to partition and group image elements, thereby providing segmented 2D image information including information about at least part of the one or more objects of interest; and f. generating validated 2D and 3D image information by iteratively cross-referencing the projective geometry information, the clustered 3D information and the segmented 2D image information, thereby providing validated 2D and 3D image information including information about at least part of the one or more objects of interest.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 86.0
- Lexical Diversity: 2.55714
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15418741', '14826104', '15211271', '15396105', '15683703']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2882288677136604
- 35 USC 102 Novelty (BERT): 0.5247368604197159
- Combined Prediction Score: 0.311879666984266
- Mean Citation Score: 224.469586
- Max Citation Score: 337.15692
- Similarity Product: 310.68506681809896

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