Patent · US Active

Method and apparatus for recognizing RGB-D objects based on adaptive similarity measure of dense matching item

US10496897B2 · kind B2 · utility

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6Claims

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Assignee

Institute of Automation, Chinese Academy of Sciences · CN

Inventors

Kaiqi Huang · Beijing, CN
Xin Zhao · Austin, US
Yanhua CHENG · Lo Wu, CN

Key dates

Filing date	Nov 25, 2015
Grant date	Dec 3, 2019
Priority date	—
Expiry date	Nov 25, 2035

Classification

Technology area (CPC G)Physics
CPC primaryG06V10/806
WIPO fieldComputer technology
WIPO sectorElectrical engineering

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.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.