PATENT CLAIM ANALYSIS

Application Number: 15942226
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-10
Patent Classification: ["382", "157000"]

Abstract:
In order for the feature extractors to operate with sufficient accuracy, a high degree of training is required. In this situation, a neural network implementing the feature extractor may be trained by providing it with images having known correspondence. A 3D model of a city may be utilized in order to train a neural network for location detection. 3D models are sophisticated and allow manipulation of viewer perspective and ambient features such as day/night sky variations, weather variations, and occlusion placement. Various manipulations may be executed in order to generate vast numbers of image pairs having known correspondence despite having variations. These image pairs with known correspondence may be utilized to train the neural network to be able to generate feature maps from query images and identify correspondence between query image feature maps and reference feature maps. This training can be accomplished without requiring the capture of real images with known correspondence. Capture of real images with known correspondence is cumbersome, time and resource-intensive, and difficult to manage.

Claim (Index 14):
The method according to  13  wherein said step of incrementing comprises changing said position and orientation to that [which is] consistent with a forward-looking vehicle camera moved a fixed distance along said virtual street of said 3D model.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 1.95699
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15374010', '15155818', '15138821', '10155948', '15092421']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2851544307023655
- 35 USC 102 Novelty (BERT): 0.5176418713257935
- Combined Prediction Score: 0.3084031747647083
- Mean Citation Score: 162.465678
- Max Citation Score: 169.88301
- Similarity Product: 87.32026180382252

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