PATENT CLAIM ANALYSIS

Application Number: 16019349
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-01
Patent Classification: ["348", "036000"]

Abstract:
This specification describes a method comprising generating, from a plurality of first images representing a scene, at least one stereoscopic panoramic image comprising a left-eye panoramic image and a right-eye panoramic image. Depth map images are generated corresponding to each of the left and right-eye panoramic images. Each of the left and right-eye panoramic images are re-projected to obtain a plurality of second images, each associated with a respective virtual camera. Each of the left and right-eye depth map images are re-projected to generate a re-projected depth map associated with each second image. A first three-dimensional model of the scene based on the plurality of second images is determined. A second three-dimensional model of the scene based on the plurality of re-projected depth map images is determined. One or more corresponding points of the first and second three-dimensional models is or are compared to determine a scaling factor.

Claim (Index 16):
The apparatus of  claim 15 , wherein the computer program code, which when executed by the at least one processor, causes the apparatus to use the respective positions of the virtual cameras to generate respective positions of a plurality of multi-directional image capture apparatuses.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 94.0
- Lexical Diversity: 2.59016
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14827422', '15948012', '15642377', '14723151', '14049057']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6414148351480784
- 35 USC 102 Novelty (BERT): 0.5128556237516403
- Combined Prediction Score: 0.6285589140084346
- Mean Citation Score: 266.259134
- Max Citation Score: 284.1588
- Similarity Product: 214.39047280483248

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