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Three-dimensional model retrieval method and device based on three-dimensional shape knowledge graph

A technology of 3D models and knowledge graphs, applied in database models, structured data retrieval, unstructured text data retrieval, etc., can solve problems such as not suitable for cross-domain data sets, training models are difficult to obtain good results, etc., to achieve Guaranteed retrieval performance and accurate retrieval results

Pending Publication Date: 2021-08-20
OCEAN UNIV OF CHINA +1
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Problems solved by technology

[0003] The main challenges currently faced by 3D model retrieval are: 1) relying on large-scale 3D models to train the parameters of the network; 2) not suitable for cross-domain data sets, and it is difficult for the training model of the target domain to obtain good results from the source domain

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  • Three-dimensional model retrieval method and device based on three-dimensional shape knowledge graph
  • Three-dimensional model retrieval method and device based on three-dimensional shape knowledge graph
  • Three-dimensional model retrieval method and device based on three-dimensional shape knowledge graph

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Embodiment Construction

[0049] In order to make the purposes, technical solutions and advantages of the application more clear, the technical solutions in the embodiments of the application will be described in more detail below in conjunction with the drawings in the embodiments of the application. In the drawings, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The described embodiments are some, but not all, embodiments of the application. The embodiments described below by referring to the figures are exemplary and are intended to explain the present application, and should not be construed as limiting the present application. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts all belong to the scope of protection of this application. Embodiments of the present application will be described in detail below in con...

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Abstract

The invention discloses a three-dimensional model retrieval method and device based on a three-dimensional shape knowledge graph. The three-dimensional model retrieval method based on the three-dimensional shape knowledge graph comprises the steps of obtaining a three-dimensional model database, wherein the three-dimensional model database comprises a plurality of three-dimensional models, and each three-dimensional model is provided with an identification tag; processing each three-dimensional model so as to obtain a triple of each three-dimensional model; generating a three-dimensional shape knowledge graph; obtaining a three-dimensional model to be retrieved; and performing similarity comparison on a to-be-retrieved three-dimensional model and each node in the three-dimensional shape knowledge graph to obtain a three-dimensional model corresponding to the node with the highest similarity with the to-be-retrieved three-dimensional model in the three-dimensional shape knowledge graph. The three-dimensional shape knowledge graph effectively represents the relationship between two different shapes and the structure information of the three-dimensional model, and the method does not depend on the three-dimensional model to train network parameters, so that a more accurate retrieval result is obtained.

Description

technical field [0001] The invention relates to the technical field of three-dimensional model retrieval, in particular to a three-dimensional model retrieval method based on a three-dimensional shape knowledge graph and a three-dimensional model retrieval device based on a three-dimensional shape knowledge graph. Background technique [0002] With the development of digital technology and computer vision technology, 3D models have been widely used in computer-aided design, medical diagnosis, bioinformatics, 3D printing, medical imaging, digital entertainment and other fields. How to understand 3D models and deal with model retrieval problems on large-scale data has attracted much attention in recent years. With the development of deep learning, many related methods have been proposed to deal with the problem of 3D model retrieval. For example: MVCNN extracts the set of views they render in a 2D image and combines information from multiple views of 3D shape into a single an...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06F16/28G06F16/36
CPCG06F16/367G06F16/288G06F18/213G06F18/23213G06F18/22
Inventor 贾东宁魏志强许佳立殷波褚宏奎马猛飞
Owner OCEAN UNIV OF CHINA
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