PATENT CLAIM ANALYSIS

Application Number: 16118894
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-03
Patent Classification: ["345", "419000"]

Abstract:
Described are methods and systems for enhancing depth sensor-based 3D geometry reconstruction with photogrammetry. A 3D sensor captures scans of a physical object, including related pose information and HD images corresponding to each scan. For each scan, a computing device generates an initial 3D model of the physical object, the initial model having missing sections. The computing device detects the missing sections in a 3D point cloud associated with the initial model and projects the missing sections in the point cloud to a corresponding HD image. The computing device generates image segments of the corresponding HD image that match the missing sections in the point cloud, generates a point cloud structure for each of the image segments of the corresponding HD image, and merges the initial model and the generated point cloud structures to generate a final 3D model with the missing sections filled in.

Claim (Index 2):
A system for enhancing depth sensor-based 3D geometry reconstruction with photogrammetry, the system comprising:\n a 3D sensor that captures one or more 3D scans of a physical object, including related pose information of the physical object, and one or more HD images corresponding to each 3D scan; and a computing device coupled to the 3D sensor that, for each 3D scan:\n generates an initial 3D model of the physical object using the 3D scan, the initial 3D model having one or more missing sections; \n detects the one or more missing sections in a 3D point cloud associated with the initial 3D model; \n projects the one or more missing sections in the 3D point cloud to a corresponding HD image for the 3D scan; \n generates one or more image segments of the corresponding HD image that match the one or more missing sections in the 3D point cloud; \n generates a 3D point cloud structure for each of the one or more image segments of the corresponding HD image; and \n merges the initial 3D model and the generated 3D point cloud structures to generate a final 3D model with the one or more missing sections filled in.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 96.0
- Lexical Diversity: 2.46032
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15596590', '14324891', '15467615', '15441166', '14954775']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6445443943188686
- 35 USC 102 Novelty (BERT): 0.4684175429629955
- Combined Prediction Score: 0.6269317091832812
- Mean Citation Score: 199.232816
- Max Citation Score: 207.50098
- Similarity Product: 178.22394203298091

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