PATENT CLAIM ANALYSIS

Application Number: 15897528
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-09
Patent Classification: ["382", "153000"]

Abstract:
A standard template generation unit generates a plurality of standard templates with different resolutions for different layers. An identification template generation unit generates, for each layer, a common template that represents a common part of the plurality of standard templates, and identification templates that represent differences between the plurality of templates. Matching in a higher level layer uses the standard templates. Matching in a lower level layer uses the common template representing a common part of the templates and the identification templates representing differences between the templates.

Claim (Index 10):
An object recognition processor for recognizing an object by template matching, comprising:\n a template information obtaining unit configured to obtain, from an external unit, a plurality of identification templates representing differences between a plurality of standard templates corresponding to the object viewed from different points; an image obtaining unit configured to obtain an input image of the object; and a template matching unit configured to perform matching of the input image of the object with the plurality of obtained identification templates.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 88.0
- Lexical Diversity: 2.54054
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15712826', '15744844', '15121800', '15613326', '14942118']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2834829809699382
- 35 USC 102 Novelty (BERT): 0.4881479510561562
- Combined Prediction Score: 0.3039494779785601
- Mean Citation Score: 187.141844
- Max Citation Score: 214.02663
- Similarity Product: 166.47437004201652

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