PATENT CLAIM ANALYSIS

Application Number: 15746568
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-09
Patent Classification: ["382", "165000"]

Abstract:
The application discloses a method and an apparatus for recognizing RGB-D objects based on adaptive similarity measure of dense matching item, wherein the method can include at least the following steps: convolution neural network features of a to-be-queried object and a reference object are extracted; dense matching is carried out on the reference object and the to-be-queried object on the basis of the convolution neural network features fused with RGB and depth information; similarity between the reference object and the to-be-queried object is measured according to a dense matching result; and the to-be-queried object is classified based on the similarity between the reference object and the to-be-queried object. With the embodiments of the present application, at least in part, the technical problem of how to improve the robustness of object recognition is solved.

Claim (Index 6):
Method according to  claim 5 , wherein said w is solved by ranking SVM algorithm and by using the following formula:\n min \u00bd\u2225 w\u2225 2 2 +C\u03a3\u03be i,i + ,i \u2212 s.t .\u2200( I i ,I i + ,I i \u2212 )\u2208\u03a9,\u03be i,i + ,i \u2212 \u22650, w\u03a6 I i \u2212|I i \u2212w\u03a6 I i \u2212|I i >1\u2212\u03be i,i + ,i \u2212 \u2200 c ( I i )= c ( I i + ), c ( I i \u2212 )\u2260 c ( I i ), wherein \u03a9={(I i ,I i + ,I i \u2212 )} i=1 N  represents a triple database; I i  represents the to-be-queried object; I i +  denotes the reference object of the same category as the to-be-queried object; I i \u2212  denotes the reference object of a different category from the to-be-queried object; \u03be denotes a slack variable; C represents a penalty parameter.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 86.0
- Lexical Diversity: 2.05797
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16067819', '15038325', '15783908', '12968796', '11365273']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3379989448192343
- 35 USC 102 Novelty (BERT): 0.5013437404299167
- Combined Prediction Score: 0.3543334243803026
- Mean Citation Score: 190.103838
- Max Citation Score: 225.36264
- Similarity Product: 147.53507003417016

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