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

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...

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 multimedia data containing clothing to a dedicated recognition model, analyzing the local and overall features extracted from clothing data. and the system has not yet been reported

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