PATENT CLAIM ANALYSIS

Application Number: 15952298
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["348", "175000"]

Abstract:
A camera parameter set calculation method includes acquiring a first image from a first camera, a second image from a second camera, first and second camera parameter sets of the first camera and the second camera, calculating three-dimensional coordinate sets on the basis of the first image, the second image, the first camera parameter set, and the second camera parameter set, determining first pixel coordinate pairs obtained by projecting the three-dimensional coordinate sets onto the first image and second pixel coordinate pairs obtained by projecting the three-dimensional coordinate sets onto the second image, calculating an evaluation value on the basis of the pixel values at the first pixel coordinate pairs and the pixel values at the second pixel coordinate pairs, and updating the first camera parameter set and the second camera parameter set on a basis of the evaluation value.

Claim (Index 9):
The camera parameter set calculation method according to  claim 1 , wherein (d1) information about time is acquired from a timer before processes (a1) to (a7) are performed, and\n wherein (d2) processes (a1) to (a7) are started on a basis of the acquired information about time.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 91.0
- Lexical Diversity: 4.05405
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15693915', '15950220', '15950216', '15590175', '15687761']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6747798559668653
- 35 USC 102 Novelty (BERT): 0.5279441702462347
- Combined Prediction Score: 0.6600962873948023
- Mean Citation Score: 276.957754
- Max Citation Score: 344.722
- Similarity Product: 220.8092996275425

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

Dataset: test