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 2):
Method according to  claim 1 , wherein the following formula is used for dense matching of the reference object and the to-be-queried object: E \ue8a0 ( t i ) = \u2211 i \ue89e D i \ue8a0 ( t i ) + \u03b1 \ue89e \u2211 i \ue89e \uf605 t i \uf606 1 + \u03b2 \ue89e \u2211 i , j \u2208 N \ue89e min \ue8a0 ( \uf605 t i - t j \uf606 1 , \u03bb ) ; wherein \ue89e \ue89e \u2211 i \ue89e D i \ue8a0 ( t i ) represents a data term; \u03b1 \ue89e \u2211 i \ue89e \uf605 t i \uf606 1 represents a displacement term; \u03b2 \ue89e \u2211 i , j \u2208 N \ue89e min \ue8a0 ( \uf605 t i - t j \uf606 1 , \u03bb ) represents a smoothing term; t i  represents the amount of displacement of a pixel point found in the reference object corresponding to the i-th pixel point of the to-be-queried object; t j  represents the amount of displacement of a pixel point found in the reference object corresponding to the j-th pixel point of the to-be-queried object; D i (t i ) represents a difference between the convolution neural network features of two matched pixel points; \u03bb represents a threshold value which defines a structure relationship of adjacent pixel points in the to-be-queried object; \u03b1 and \u03b2 represent the weight coefficients among the data term, the displacement term, and the smoothing term.

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): 0.3362586494229503
- 35 USC 102 Novelty (BERT): 0.5095140101735783
- Combined Prediction Score: 0.3535841854980131
- Mean Citation Score: 190.103838
- Max Citation Score: 225.36264
- Similarity Product: 131.36062937975407

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