Garment pattern texture recognition method and system based on a neural network

A pattern texture and recognition method technology, applied in image data processing, character and pattern recognition, image analysis, etc., to achieve the effect of improving recognition accuracy, eliminating interference, and accelerating convergence speed

Pending Publication Date: 2019-07-30
上海宝尊电子商务有限公司
View PDF7 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it is about an automatic recognition method for clothing pattern textures in complex scenes such as multi-backgrounds and multi-angles by inputting multi-dimensional mul

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
  • Garment pattern texture recognition method and system based on a neural network
  • Garment pattern texture recognition method and system based on a neural network
  • Garment pattern texture recognition method and system based on a neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0056] In order to solve the automatic recognition of clothing pattern textures in complex scenes such as multiple backgrounds and multiple angles, the present invention designs a special deep neural network on the basis of the traditional deep neural network model for general recognition to complete the recognition task; The model inputs multi-dimensional multimedia data containing clothing, such as pictures, videos, etc., through the special model to extract the local and overall features of the clothing data, and after feature analysis, the recognition results are given; the implementation process of the specific method is as follows:

[0057] Step s1, acquire a large amount of multimedia data of fashion clothing, including videos and images, and use it as system input. And in order to ensure that the background does not interfere with the recognition of the actual clothing pattern texture in the frame image, the specific position of the clothing in the image is determined a...

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 garment pattern texture recognition method and system based on a neural network. The system comprises an image feature extraction network, a garment position feature extraction network, a texture feature extraction module, a garment position regression module and a pattern texture prediction module. The method has the advantages that the specific position of the garmentin the image is judged, the specific position content of the garment serves as the ROI to be input into the neural network, background interference can be greatly eliminated, and the recognition accuracy is improved; by utilizing the system to analyze popular elements of the current fashion garment industry, the current fashion trend is analyzed, meanwhile, the system can also provide design inspiration for fashion designers, help the designers to design garment products meeting the psychology of consumers, and improve the cognition degree and satisfaction degree of the consumers; data labeling on 700-800 image frames is completed per minute, so that the efficiency is greatly improved; by using the system, the identification accuracy is improved by about 20%.

Description

technical field [0001] The invention relates to the automatic identification and analysis of the pattern texture attribute of the clothing under the complex background in the field of fashion clothing, in particular, it is a neural network-based clothing pattern texture recognition method and system. Background technique [0002] Fashion clothing has many attributes, and pattern texture is a very important one among them. The pattern and texture recognition of clothing is a technology that automatically analyzes the attributes of clothing through computers and gives accurate recognition results. In the field of fashion clothing, it is difficult for designers or analysts to judge the overall fashion trend or popular elements from the current few clothing at once. It is necessary to analyze a large number of different styles of clothing to make a more accurate judgment on fashion popular elements and analysis, which is too expensive in manpower and time. Only by accurately a...

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): G06K9/62G06T7/11G06T7/49G06K9/46
CPCG06T7/11G06T7/49G06V10/56G06F18/22
Inventor 胡玉琛吴磊彬林博
Owner 上海宝尊电子商务有限公司
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