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An automatic classification method for three-dimensional drape of fabrics

An automatic classification and overhanging technology, which is applied in the directions of instruments, calculations, characters and pattern recognition, etc., can solve problems such as no way to achieve classification

Inactive Publication Date: 2019-11-08
DONGHUA UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Currently, after obtaining and building a 3D fabric drape database, there is no way to achieve classification

Method used

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  • An automatic classification method for three-dimensional drape of fabrics
  • An automatic classification method for three-dimensional drape of fabrics
  • An automatic classification method for three-dimensional drape of fabrics

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Embodiment Construction

[0046] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0047] The automatic classification method of a kind of fabric three-dimensional draping form provided by the present invention comprises the following steps:

[0048] Step 1, extracting the drape feature contour line of the three-dimensional drape form of the fabric, comprising the following steps:

[0049] Step 1.1. Calculate the three-dimensional drape shape P of the fabric d at x D o o Y D Two-dimensional projection P ...

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Abstract

The invention provides a method for automatically classifying the three-dimensional draping form of fabrics, which is characterized in that it comprises the following steps: extracting the draping characteristic contour line of the three-dimensional draping form of the fabric, performing elliptical Fourier description on the draping characteristic contour line of the three-dimensional draping form, The elliptical Fourier transform is used to describe the drape feature contours of the 3D drape shapes of M samples in the scanned fabric drape database, and the 3D fabric drape contours are automatically classified using a hierarchical clustering method that does not require a given number of clusters. The present invention provides a general parameterization and automatic classification method of three-dimensional fabric drape form, which can effectively extract clustering information from three-dimensional fabric drape form, and complete automatic classification, so as to analyze fabric drape form and pattern more comprehensively and accurately. relationship between physical properties.

Description

technical field [0001] The invention relates to an automatic classification method for three-dimensional fabric drape shapes, which is used for parameter processing and automatic classification after obtaining a large number of real fabric drape three-dimensional models through a three-dimensional scanner, so as to serve fabric performance analysis and virtual fabric reconstruction and clothing design, etc. Background technique [0002] At present, the test and analysis of the static drape performance of fabrics mainly focus on image processing using its plane projection. Because this method cannot fully reflect the three-dimensional shape characteristics of the fabric, it has great limitations. For example, some fabrics with similar drape coefficient and number of nodes have completely different physical properties. [0003] With the popularization of 3D scanners, it is possible to scan a large number of real fabric drapes. Currently, after acquiring and building a 3D fa...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
CPCG06F18/24
Inventor 毋戈钟跃崎李端
Owner DONGHUA UNIV
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