PATENT CLAIM ANALYSIS

Application Number: 15989551
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-01
Patent Classification: ["382", "201000"]

Abstract:
This invention transforms a list of feature points in raster scan order into a list of maxima suppressed feature points. A working buffer has two more entries than the width of the original image. Each entry is assigned to an x coordinate of the original image. Each entry stores a combined y coordinate and reliability score for each feature point in the original list. This process involves a forward scan and a backward scan. For each original feature point its x coordinate defines the location within the working buffer where neighbor feature points would be stored if they exist. The working buffer initial data and the y coordinates assure a non-suppress comparison result if the potential neighbors are not actual neighbors. For actual neighbor data, the y coordinates match and the comparison result depends solely upon the relative reliability scores.

Claim (Index 6):
The method of  claim 1 , wherein:\n said step of scanning the original list in a backward direction further includes prior to all comparing steps replacing each original y coordinate Y org  in the original feature point list with a new y coordinate Y new  as follows:\n Y new =ImageHeight+1\u2212 Y org .

Metadata:
- Claim Count in Document: 13.0
- Percentile: 93.0
- Lexical Diversity: 1.81707
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15203973', '10354200', '11256376', '12777595', '16093658']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2865727031245332
- 35 USC 102 Novelty (BERT): 0.5884939223486423
- Combined Prediction Score: 0.3167648250469442
- Mean Citation Score: 211.49433800000003
- Max Citation Score: 494.23108
- Similarity Product: 446.9594005071617

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