Cloth Modeling and Simulation

Magnenat‐Thalmann, Nadia

doi:10.1007/978-1-84996-263-6_3

Modeling and Simulating Bodies and Garments 2010

DOI: 10.1007/978-1-84996-263-6_3

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Cloth Modeling and Simulation

Nadia Magnenat‐Thalmann

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2023

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“…The traditional fabric identification method is generally completed manually [1]. But manual identification is inefficient.…”

mentioning

confidence: 99%

Research on fabric recognition method based on its properties

Ma,

Ren,

Wang

2023

International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023)

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With the improvement of the intelligence degree of textile and garment industry, with the help of advanced information technology, using computer image recognition method to realize automatic fabric recognition, can improve the recognition accuracy and production efficiency to a great extent. At present, the common fabric recognition algorithms do not combine the basic properties of fabric, only consider its image features, so the recognition accuracy is low. In this paper, on the basis of predecessors' research put forward a kind of fabric recognition method in combination with the fabric properties, with the commonly used 12 kinds of natural fiber fabrics as samples, geometric measurement of fabric image was established, the quantitative analysis of impact resilience and drape of fabrics attribute two factors, and the fabric properties of parametric modeling, get the fabric properties of geometric measurement. The image measurement data were normalized and constructed by polynomial regression. The convolu-tional neural network (CNN) is trained to extract features adaptively according to image features. The fabric recognition model is constructed to learn the parameters of two fabric attributes and realize automatic fabric recognition. It can effectively improve the accuracy and efficiency of cloth recognition and meet the needs of practical applications.

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“…The traditional fabric identification method is generally completed manually [1]. But manual identification is inefficient.…”

mentioning

confidence: 99%

Research on fabric recognition method based on its properties

Ma,

Ren,

Wang

2023

International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023)

View full text Add to dashboard Cite

show abstract

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Cloth Modeling and Simulation

Cited by 1 publication

References 41 publications

Research on fabric recognition method based on its properties

Research on fabric recognition method based on its properties

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