Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Semantic-based three-dimensional model retrieval system and method

A three-dimensional model and retrieval system technology, applied in the field of information retrieval, can solve the problems of inability to quickly retrieve, large amount of data, and inability to complete 3D model retrieval, etc., to achieve the effect of improving retrieval accuracy, expanding retrieval scope, and bridging the semantic gap.

Active Publication Date: 2013-03-06
BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
View PDF4 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The 3D model can vividly represent the structure and composition of objects, but due to the large amount of data, it cannot be retrieved as quickly as text information
Therefore, this method is still based on the retrieval of the 3D model content, and the 3D model feature vector is assisted by the user's correlation judgment, and it cannot complete the retrieval of the 3D model based on semantics.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Semantic-based three-dimensional model retrieval system and method
  • Semantic-based three-dimensional model retrieval system and method
  • Semantic-based three-dimensional model retrieval system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057] The present invention will be described below in conjunction with the accompanying drawings and specific embodiments.

[0058] According to an embodiment of the present invention, a semantic-based three-dimensional model retrieval system is provided. figure 2 Shows the overall structure of the system, including server and client. The server end includes a semantic retrieval module, a semantic database, a three-dimensional model database and a semantic annotation module; the client end includes a display module. in

[0059] The semantic retrieval module also includes: a word segmentation sub-module, which is used to carry out semantic segmentation and filtering to the retrieval sentence input by the user, and obtains a semantic concept; a semantic association calculation sub-module, which is used to perform semantic segmentation in the semantic dictionary WordNet according to the semantic concept Query multiple semantic concepts that are synonymous with them (that is,...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a semantic-based three-dimensional model retrieval system and method. The system comprises a semantic retrieval module and a semantic database. The semantic retrieval module is used to segment and filter semanteme of a retrieved sentence so as to obtain a semantic concept. The method comprises the steps of inquiring the synonymous semantic concept in the WordNet according to the semantic concept, calculating the similarity between the semantic concept and the inquired semantic concept and screening the semantic concept according to the similarity to obtain other semantic concepts associated with the semantic concept; and combining the semantic concept with other associated semantic concepts to retrieve corresponding three-dimensional information in the semantic database to obtain the retrieval result. According to the three-dimensional model retrieval system and method provided by the invention, the semantic gap of high-level semantic information and low-level semantic information is complemented, the retrieval range of the three-dimensional model is expanded, and the retrieval precision is improved.

Description

technical field [0001] The present invention generally relates to the technical field of information retrieval, and specifically relates to a semantic-based three-dimensional model retrieval system and method. Background technique [0002] With the rapid growth of Internet information and the popularization of multimedia technology in daily life, information retrieval is not limited to text retrieval, but can carry out multimedia retrieval based on multimedia files, that is, it has gradually moved towards image retrieval, audio retrieval, video retrieval, etc. expand. At the same time, in order to improve people's use of the retrieval system, text retrieval should also gradually integrate semantic meaning, so as to narrow the semantic gap between high-level semantics and low-level data. [0003] Three-dimensional models have been gradually applied to many fields such as industry, design industry, and microbiology industry. A 3D model can vividly represent the structure and...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F17/30
Inventor 李海生刘璇曹健蔡强
Owner BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products