PATENT CLAIM ANALYSIS

Application Number: 15751325
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["382", "157000"]

Abstract:
According to the embodiments of the present disclosure, there is provided a method for detecting feature points in an image. The method comprises: processing data of the image using a first type of convolutional layers in a Convolutional Neural Network (CNN) to generate first processed data, wherein the first type of convolutional layers comprise convolution kernels having non-shared weights; processing the first processed data using a second type of convolutional layers in the CNN to generate second processed data, wherein the second type of convolutional layers comprise convolution kernels having shared weights; and determining the feature points in the image based on the second processed data. In addition, the embodiments of the present disclosure further provide a corresponding device and a corresponding computer readable storage medium.

Claim (Index 17):
The device according to  claim 15 , wherein a size of convolution kernels of a preceding one of the first type of convolutional layers is greater than or equal to that of convolution kernels of a subsequent one of the first type of convolutional layers in the CNN, and a number of the convolution kernels of the preceding one of the first type of convolutional layers is less than or equal to that of the convolution kernels of the subsequent one of the first type of convolutional layers in the CNN; and\n the first type of convolutional layers precede the second type of convolutional layers in the CNN.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 88.0
- Lexical Diversity: 2.19048
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15719829', '15487091', '14609775', '15712654', '15879732']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3526298538957422
- 35 USC 102 Novelty (BERT): 0.5098375469784666
- Combined Prediction Score: 0.3683506232040147
- Mean Citation Score: 251.559726
- Max Citation Score: 257.3886
- Similarity Product: 163.42609481660128

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

Dataset: test