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

Freehand interactive three-dimensional model retrieval method based on high-level semantic property comprehension

A technology of semantic attributes and three-dimensional models, which is applied in digital data processing, character and pattern recognition, special data processing applications, etc., can solve the problems of low retrieval accuracy and achieve the effect of improving retrieval efficiency

Active Publication Date: 2018-06-15
JIANGXI NORMAL UNIV
View PDF9 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to address the deficiencies in the existing technology, and propose a three-dimensional model retrieval method based on high-level semantic understanding, so as to solve the problems of low retrieval accuracy due to various hand-painted styles of users, and make the retrieval and query method of hand-painted interaction more convenient. Free expression suitable for users' retrieval needs Based on the above analysis, improve retrieval efficiency and accuracy

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
  • Freehand interactive three-dimensional model retrieval method based on high-level semantic property comprehension
  • Freehand interactive three-dimensional model retrieval method based on high-level semantic property comprehension
  • Freehand interactive three-dimensional model retrieval method based on high-level semantic property comprehension

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] The scheme of the present invention mainly comprises two modules: a semantic attribute extraction module and a semantic attribute similarity measurement module, and its entire technical route flow chart is as attached image 3 shown. Below in conjunction with accompanying drawing, the implementation details of these two modules in the present invention are described in detail:

[0022]1. Global-local semantic attribute extraction based on different categories of hand-drawn sketches

[0023] For the extraction of semantic attributes of hand-drawn sketches, the present invention uses a data-driven approach, collects a large-scale hand-drawn sketch data set as a training sample, and selects an appropriate feature descriptor to extract the corresponding global and local features of each sample. Using classification learning and other methods to predict the global and local semantic attributes corresponding to a certain category of hand-drawn sketches. In this process, the ...

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 freehand interactive three-dimensional model retrieval method based on high-level semantic property comprehension. According to the method, first, a data driving mode is utilized to extract global-local semantic properties of freehand sketches under different styles and categories, and a semantic property space of the freehand sketches is defined; second, on the basis of the defined semantic property space, automatic annotation of semantic properties is performed on a three-dimensional model in a database according to content characteristics corresponding to the three-dimensional model; and last, the semantic properties of the freehand sketches and the semantic properties of the three-dimensional model in the database are mapped to the same measurement space by means of constructing a semantic property tree for comparison, and if the similarity between the semantic properties of the freehand sketches and the semantic properties of the three-dimensional model reaches a set similarity, information of the three-dimensional model is fed back, and retrieval is completed. Through the method, deviation brought by an existing freehand interactive three-dimensionalmodel retrieval algorithm through which a three-dimensional model cannot be compared with freehand sketches unless the three-dimensional model is projected into a two-dimensional view is avoided.

Description

technical field [0001] The invention relates to a hand-painted interactive three-dimensional model retrieval method based on high-level semantic attribute understanding, which belongs to the technical field of computer graphics and multimedia information retrieval. Background technique [0002] With the rapid development of technologies such as 3D modeling and laser scanning, 3D models have been widely used in many fields such as industrial product construction, 3D video animation, architectural clothing design, and medical information visualization. However, how to quickly and accurately search for the 3D models needed by users from a large-scale 3D model database is still a very difficult task, especially in the context of the current big data era, the types and quantities of 3D models are geometrically The growth of the series, and most of the models are different in function type and appearance structure. The traditional keyword-based and instance-based 3D model retriev...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06K9/00G06K9/62
CPCG06F16/5866G06V30/422G06F18/24
Inventor 雷浩鹏易玉根罗国亮李玉华
Owner JIANGXI NORMAL UNIV
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