PATENT CLAIM ANALYSIS

Application Number: 15948012
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["348", "135000"]

Abstract:
A method comprising performing image re-projection on each of a plurality of first images of a scene, thereby to generate a plurality of re-projected second images of the scene, wherein each first image of the scene is captured by a respective camera of a first multi-directional image capture apparatus and each second image of the scene is associated with a respective virtual camera; processing the plurality of second images based on a previously generated virtual three dimensional model of the scene, thereby to generate respective positions of the virtual cameras associated with the second images; and determining a position of the first multi-directional image capture apparatus based on one or more of the generated positions of the virtual cameras.

Claim (Index 18):
The apparatus of  claim 10 , wherein the processing of the plurality of second images further generates respective orientations of the virtual cameras, and the computer program code, which when executed by the at least one processor, further causes the apparatus to:\n determine an orientation of the first multi-directional image capture apparatus based on one or more of the generated respective orientations of the virtual cameras.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 91.0
- Lexical Diversity: 2.5
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14749786', '10793850', '14089300', '13512599', '14120370']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6484334197342966
- 35 USC 102 Novelty (BERT): 0.487183271277002
- Combined Prediction Score: 0.6323084048885671
- Mean Citation Score: 196.317944
- Max Citation Score: 198.60931
- Similarity Product: 140.1349692616856

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test