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 6):
The computer system of  claim 1 , wherein assigning the motion state identifier for each of the at least some pixels in each of the at least some depth maps is performed by at least the following:\n obtaining a first image which will subsequently be used to generate a first depth map included within the plurality of depth maps; categorizing one or more objects that are detected within that first image into one or more object classes; sub-categorizing the one or more object classes into a first class that satisfies a threshold degree of movement and a second class that does not satisfy the threshold degree of movement; segmenting, in the first image, pixels belonging to the first class so that those pixels are not used to generate the first depth map; and generating the first depth map using the first image.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 1.87719
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15863799', '13230733', '12299909', '13867085', '15805107']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6668588279093889
- 35 USC 102 Novelty (BERT): 0.4913889461220176
- Combined Prediction Score: 0.6493118397306518
- Mean Citation Score: 214.496388
- Max Citation Score: 228.01912
- Similarity Product: 169.24880132042406

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