PATENT CLAIM ANALYSIS

Application Number: 15882976
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["382", "275000"]

Abstract:
The disclosure includes a system and method for performing image rectification using a single image and information identified from the single image. An image recognition application receives an input image, identifies a plurality of objects in the input image, estimates rectification parameters for the plurality of objects, identifies a plurality of candidate rectification parameters using a voting procedure on the rectification parameters for the plurality of objects, estimates final rectification parameters based on the plurality of candidate rectification parameters, computes a global transformation matrix using the final rectification parameters, and performs image rectification on the input image using the global transformation matrix.

Claim (Index 2):
The computer-implemented method of  claim 1 , further comprising:\n identifying, by the one or more processors, a plurality of candidate rectification parameters using a voting procedure on rectification parameters for the plurality of objects; and estimating, by the one or more processors, final rectification parameters based on the plurality of candidate rectification parameters, wherein the global transformation matrix is also based on the final rectification parameters.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 2.55814
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14975644', '10081916', '14066633', '15015447', '13034989']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2730846349794358
- 35 USC 102 Novelty (BERT): 0.5574071012740951
- Combined Prediction Score: 0.3015168816089017
- Mean Citation Score: 219.82446200000004
- Max Citation Score: 413.22452
- Similarity Product: 363.3978015990138

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

Dataset: test