PATENT CLAIM ANALYSIS

Application Number: 15957462
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["345", "419000"]

Abstract:
Optimizations are provided for reconstructing geometric surfaces for an environment that includes moving objects. Multiple depth maps for the environment are created, where some of the depth maps correspond to different perspectives of the environment. A motion state identifier is assigned to at least some pixels in at least some of the depth maps corresponding to moving objects in the environment. A composite 3D mesh is built using at least some of the multiple depth maps, by incorporating pixel information from the depth maps, while omitting pixel information identified by the motion state identifiers as being associated with moving objects.

Claim (Index 20):
A method for reconstructing geometric surfaces included within an environment using a plurality of depth maps, the method being performed by a computer system and comprising the computer system performing the following:\n obtaining a plurality of depth maps for an environment, at least some of the plurality of depth maps corresponding to different perspectives of the environment; identifying a particular set of one or more pixels in the plurality of depth maps that are associated with one or more predetermined motion criteria; and building a composite three dimensional (3D) mesh from the plurality of different depth maps, by incorporating pixel information from the plurality of depth maps into the composite 3D mesh, but while also omitting pixel information of the particular set of the one or more pixels that are associated with the one or more predetermined motion criteria from the composite 3D mesh.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 1.87719
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15863799', '13230733', '12299909', '13867085', '15805107']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6419181373463008
- 35 USC 102 Novelty (BERT): 0.4800475922619974
- Combined Prediction Score: 0.6257310828378705
- Mean Citation Score: 214.496388
- Max Citation Score: 228.01912
- Similarity Product: 187.71474168464653

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