PATENT CLAIM ANALYSIS

Application Number: 16020441
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["702", "005000"]

Abstract:
A method for aerial image processing preferably includes receiving ground control point (GCP) information, receiving a set of images, determining spatial information associated with the images, and determining GCP image locations; and can additionally or alternatively include determining aerial map information, training an automated GCP detector, and/or any other suitable elements. A system for aerial image processing preferably includes one or more computing devices, and can additionally or alternatively include one or more GCPs, aerial vehicles, and/or any other suitable elements.

Claim (Index 3):
The method of  claim 1 , wherein refining the camera pose estimates based on the set of images comprises:\n based on a first image of the set of images, determining a set of features, each feature of the set associated with a respective first image subset of the first image, wherein the respective first image subset depicts the feature; determining a set of matches, comprising, for each feature of the set, determining a respective second image subset of a second image of the set of images, wherein the respective second image subset depicts the feature; based on the set of matches, determining a set of feature positions, comprising, for each feature of the set, determining a respective feature position of the feature within the mapping region; and based on the set of feature positions, determining refined camera pose estimates associated with the first and second images.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 94.0
- Lexical Diversity: 1.80769
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14886192', '13762355', '15887832', '11949433', '15180370']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1841567971640519
- 35 USC 102 Novelty (BERT): 0.4687224432774695
- Combined Prediction Score: 0.2126133617753936
- Mean Citation Score: 124.7188312
- Max Citation Score: 138.0335
- Similarity Product: 96.6197048703432

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