A 3D Model Retrieval Method for Hybrid Contour View

A technology of 3D models and contour lines, applied in other database retrieval, character and pattern recognition, special data processing applications, etc., can solve problems such as retrieval input source limitations, and achieve high content similarity and excellent retrieval performance

Active Publication Date: 2019-06-25
ZHEJIANG UNIV OF TECH
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Resolved bug with retrieving input source limits

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
  • A 3D Model Retrieval Method for Hybrid Contour View
  • A 3D Model Retrieval Method for Hybrid Contour View
  • A 3D Model Retrieval Method for Hybrid Contour View

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0048] Example: such as figure 1 As shown in , a 3D model retrieval method for hybrid contour view, as follows:

[0049] Based on the optimal viewpoint method, the models in the 3D model library are extracted one by one to obtain a better viewpoint set;

[0050] The viewpoint evaluation information based on which the optimal viewpoint is extracted mainly includes: projected area, visible area ratio, surface area entropy, curvature entropy, contour length, contour entropy, grid saliency, etc. The present invention fuses optimal viewpoints with complementary properties to a certain extent. The viewpoint evaluation information is used as a viewpoint information feature to represent a model-specific viewpoint. Optimal viewpoint set extraction mainly includes two parts: training and extraction, such as figure 2 Shown:

[0051] 1) In the training process, it is first necessary to obtain relevant data of human viewing habits for machine learning. In order to facilitate collection,...

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 relates to a method for retrieving a three-dimensional model under a mixed contour line view. Firstly, based on an optimal viewpoint extraction algorithm, training and obtaining a better viewpoint set of a three-dimensional model; Gabor edge response features are extracted for the mixed contour view of each viewpoint, and a feature library is established; finally, the same edge response features are extracted from the input natural image, and similar models are retrieved from the feature library by using the bag of visual words method, and sorted according to the similarity. The experimental results show that this method uses the edge similarity between the natural image and the model feature line view to realize the 3D model retrieval, which reduces the interference of the degraded view and the natural image texture on the 3D model retrieval, and is in line with the mechanism of human visual recognition of 3D objects. search effect.

Description

technical field [0001] The invention relates to the field of computer graphics, in particular to a method for retrieving three-dimensional models under mixed contour view. Background technique [0002] With the enhancement of computer computing and graphics performance, as well as the demands of industrial design, virtual reality, film and television animation, 3D printing, video games, education and other fields, 3D models are becoming more and more frequent in daily expression. The scale of 3D models continues to expand, which stimulates a series of technical requirements for analysis and matching of 3D models, as well as retrieval and extraction of 3D model libraries. In the related methods of 3D model retrieval, there are many types of models, and most of the models have problems such as difficult definition of individuals, homomorphic and heterogeneous, and unclear function definition. In addition, the cultural background of the definer in the definition of semantic tag...

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 Patents(China)
IPC IPC(8): G06F16/903G06K9/62
CPCG06F16/903G06F18/23213G06F18/214
Inventor 刘志尹世超潘翔
Owner ZHEJIANG UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap