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

Numerically-controlled machine tool design module three-dimension model retrieval method based on single image

A 3D model and CNC machine tool technology, applied in 3D object recognition, calculation, computer parts, etc., can solve the problems of difficult drawing, less use, and difficulty of 3D sketching, etc., to eliminate the reduction of retrieval accuracy and wide application range The effect of applying the foreground

Inactive Publication Date: 2015-02-18
ZHEJIANG UNIV
View PDF6 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Two-dimensional sketches are easy to draw and more convenient to use, but because the retrieval effect of using two-dimensional sketches is often not ideal, they are rarely used
3D sketch retrieval is better than 2D sketch retrieval, but the workload of 3D sketch drawing is much larger than that of 2D sketch
The 3D sketch drawing tool is inconvenient to use and has limited functions. It is very difficult to draw a 3D sketch that can accurately express the retrieval intention
[0007] Difficulty obtaining 3D model instances and drawing accurate sketches greatly restrict the development of content-based intelligent model retrieval
The present invention proposes an image-based 3D model retrieval method for CNC machine tool design modules, effectively solving the practical limitations of content-based 3D model retrieval technology

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
  • Numerically-controlled machine tool design module three-dimension model retrieval method based on single image
  • Numerically-controlled machine tool design module three-dimension model retrieval method based on single image
  • Numerically-controlled machine tool design module three-dimension model retrieval method based on single image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0045] figure 1 It is the general flow of the image-based 3D model retrieval method of the CNC machine tool design module in the present invention, mainly including two stages of offline feature extraction (training) and online detection. In the training phase, the three-dimensional model of the machine tool module in the database is represented through multiple perspectives. Feature extraction is then performed from the multi-view images of the model. The retrieval stage is divided into two steps: rough retrieval and precise retrieval. In the rough retrieval, a small number of three-dimensional models are retrieved as candidate retrieval results through the k-nearest neighbor method (Euclidean distance). In precise retrieval, for each candidate model, select 3 (or more) perspective images that are most similar to the retrieval conditions, and use a new si...

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 discloses a numerically-controlled machine tool design module three-dimension model retrieval method based on a single image. A user is free of providing a three-dimension model or sketch and is required to input a similar image of the model to be retrieved, and the required numerically-controlled machine tool design module three-dimension model can be retrieved. In the training process, a three-dimension CAD model in a database can be displayed in a multi-view manner, SIFT feature extraction is performed on the multi-view images of the model, SIFT histograms are calculated, and features of feature bags are generated for rapid retrieval. The retrieval segment is divided into two steps, namely rough retrieval and accurate retrieval. The method has the advantages that the problem that conventionally the three-dimension model or sketch is difficult to acquire and serve as the retrieval condition during three-dimension model retrieval on the basis of content is solved, and the user is capable of utilizing the acquired image as the retrieval condition for retrieval easily; meanwhile, by means of the two-step retrieval method, the efficiency and accuracy of the retrieval are guaranteed.

Description

technical field [0001] The invention belongs to the field of content-based three-dimensional model retrieval, and specifically relates to a method for retrieving a three-dimensional model of a CNC machine tool design module using a single image, that is, a user retrieves a database by inputting a similar image of a three-dimensional model of a machine tool module. An intelligent retrieval method to obtain the 3D model of the required machine tool module. Background technique [0002] The design of CNC machine tools based on 3D models has become the mainstream mode of machine tool design in my country. Because the 3D model of machine tools has the characteristics of visualization, digitization and virtualization, it has become an indispensable basic carrier for all aspects of CNC machine tool development. Research and statistical analysis show that , in the design of new machine tool modules, about 40% are reused past modules, about 40% are minor modifications to existing desi...

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): G06K9/62
CPCG06V20/647
Inventor 何再兴赵昕玥裘乐淼张树有
Owner ZHEJIANG 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