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 4):
Method according to  claim 3 , wherein said measuring the similarity between the reference object and the to-be-queried object includes: use the following formula to measure the similarity between the reference object and the to-be-queried object: s \u03b8 \ue8a0 ( I r | I q ) = exp ( - \u03b3 - 1 \ue89e \u2211 i \ue89e D i \ue8a0 ( t i ) ) ; wherein \u03b3 represents a scale factor; s \u03b8 (I r |I q ) indicates a similarity score between the reference object and the to-be-queried object.

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): 0.339345701810832
- 35 USC 102 Novelty (BERT): 0.4950341855557071
- Combined Prediction Score: 0.3549145501853196
- Mean Citation Score: 190.103838
- Max Citation Score: 225.36264
- Similarity Product: 160.0245424752331

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