Applications of Computer Vision in Fashion and Textiles provides a systematic and comprehensive discussion of three key areas that are taking advantage of developments in computer vision technology, namely textile defect detection and quality control, fashion recognition and 3D modeling, and 2D and 3D human body modeling for improving clothing fit. It introduces the fundamentals of computer vision techniques for fashion and textile applications, also reviewing computer vision techniques for textile quality control, including chapters on wavelet transforms, Gibor filters, Fourier transforms, and neural network techniques. Final sections cover recognition, modeling, retrieval technologies and advanced human shape modeling techniques.

The book is essential reading for scientists and researchers working in the field of fashion production, quality assurance, product development, textiles, fashion supply chain managers, R&D professionals and managers in the textile industry.

Explores computer vision technology with reference to improving budget, quality and schedule control in textile manufacturing Provides a thorough understanding of the role of computer vision in developing intelligent systems for the fashion and textiles industries Elucidates the connections between human body modeling technology and intelligent manufacturing systems

Applications of Computer Vision in Fashion and Textiles provides a systematic and comprehensive discussion of three key areas that are taking advantage of developments in computer vision technology, namely textile defect detection and quality control, fashion recognition and 3D modeling, and 2D and 3D human body modeling for improving clothing fit. It introduces the fundamentals of computer vision techniques for fashion and textile applications, also reviewing computer vision techniques for textile quality control, including chapters on wavelet transforms, Gibor filters, Fourier transforms, and neural network techniques. Final sections cover recognition, modeling, retrieval technologies and advanced human shape modeling techniques.The book is essential reading for scientists and researchers working in the field of fashion production, quality assurance, product development, textiles, fashion supply chain managers, R&D professionals and managers in the textile industry.- Explores computer vision technology with reference to improving budget, quality and schedule control in textile manufacturing- Provides a thorough understanding of the role of computer vision in developing intelligent systems for the fashion and textiles industries- Elucidates the connections between human body modeling technology and intelligent manufacturing systems

Practitioners in apparel manufacturing and retailing enterprises in the fashion industry, ranging from senior to front line management, constantly face complex and critical decisions. There has been growing interest in the use of artificial intelligence (AI) techniques to enhance this process, and a number of AI techniques have already been successfully applied to apparel production and retailing. Optimizing decision making in the apparel supply chain using artificial intelligence (AI): From production to retail provides detailed coverage of these techniques, outlining how they are used to assist decision makers in tackling key supply chain problems. Key decision points in the apparel supply chain and the fundamentals of artificial intelligence techniques are the focus of the opening chapters, before the book proceeds to discuss the use of neural networks, genetic algorithms, fuzzy set theory and extreme learning machines for intelligent sales forecasting and intelligent product cross-selling systems.Helps the reader gain an understanding of the key decision points in the apparel supply chainDiscusses the fundamentals of artificial intelligence techniques for apparel management techniquesConsiders the use of neural networks in selecting the location of apparel manufacturing plants

Practitioners in apparel manufacturing and retailing enterprises in the fashion industry, ranging from senior to front line management, constantly face complex and critical decisions. There has been growing interest in the use of artificial intelligence (AI) techniques to enhance this process, and a number of AI techniques have already been successfully applied to apparel production and retailing. Optimizing decision making in the apparel supply chain using artificial intelligence (AI): From production to retail provides detailed coverage of these techniques, outlining how they are used to assist decision makers in tackling key supply chain problems. Key decision points in the apparel supply chain and the fundamentals of artificial intelligence techniques are the focus of the opening chapters, before the book proceeds to discuss the use of neural networks, genetic algorithms, fuzzy set theory and extreme learning machines for intelligent sales forecasting and intelligent product cross-selling systems.- Helps the reader gain an understanding of the key decision points in the apparel supply chain- Discusses the fundamentals of artificial intelligence techniques for apparel management techniques- Considers the use of neural networks in selecting the location of apparel manufacturing plants

Fashion Supply Chain Management Using Radio Frequency Identification (RFID) Technologies looks at the application of RFID technologies in such areas as order allocation, garment manufacturing, product tracking, distribution and retail. As supply chains in the textiles and fashion industry become ever more complex and global, and as the shift to mass customization puts more pressure on a rapid and flexible response to customer needs, monitoring and improving supply chain efficiency in the industry becomes crucial. Radio frequency identification (RFID) technologies offer a unique opportunity to achieve these goals.

This book reviews the role of RFID technologies in the textiles and fashion supply chain to improve distribution, process management and product tracking, garment manufacturing, and assembly line operations. It also explores how RFID technologies can improve order allocation in the supply chain, and how these technologies can also be used for intelligent apparel product cross-selling. Its chapters also discuss measuring the impact of RFID technologies in improving the efficiency of the textile supply chain, and modeling the effectiveness of RFID technologies in improving sales performance in fashion retail outlets.

Fashion Supply Chain Management Using Radio Frequency Identification (RFID) Technologies is a comprehensive resource for academic researchers, industry managers, and professionals within the fashion industry.

Looks at the application of RFID technologies in order allocation, garment manufacturing, product tracking, distribution, and retail Reviews RFID technologies in the textiles and fashion supply chain for improving distribution, process management and product tracking, garment manufacturing, and assembly line operations Focuses on measuring the impact of RFID technologies on efficiency, and modeling the effectiveness of RFID technologies in improving retail outlet sales

Fashion Supply Chain Management Using Radio Frequency Identification (RFID) Technologies looks at the application of RFID technologies in such areas as order allocation, garment manufacturing, product tracking, distribution and retail. As supply chains in the textiles and fashion industry become ever more complex and global, and as the shift to mass customization puts more pressure on a rapid and flexible response to customer needs, monitoring and improving supply chain efficiency in the industry becomes crucial. Radio frequency identification (RFID) technologies offer a unique opportunity to achieve these goals.This book reviews the role of RFID technologies in the textiles and fashion supply chain to improve distribution, process management and product tracking, garment manufacturing, and assembly line operations. It also explores how RFID technologies can improve order allocation in the supply chain, and how these technologies can also be used for intelligent apparel product cross-selling. Its chapters also discuss measuring the impact of RFID technologies in improving the efficiency of the textile supply chain, and modeling the effectiveness of RFID technologies in improving sales performance in fashion retail outlets.Fashion Supply Chain Management Using Radio Frequency Identification (RFID) Technologies is a comprehensive resource for academic researchers, industry managers, and professionals within the fashion industry.- Looks at the application of RFID technologies in order allocation, garment manufacturing, product tracking, distribution, and retail- Reviews RFID technologies in the textiles and fashion supply chain for improving distribution, process management and product tracking, garment manufacturing, and assembly line operations- Focuses on measuring the impact of RFID technologies on efficiency, and modeling the effectiveness of RFID technologies in improving retail outlet sales

This book introduces the theory and application of multigrid methods for the fast numerical solution of linear and weakly nonlinear elliptic PDE. No previous exposure to numerical discretization methods is assumed. All that is required of the reader is curiosity and some basic knowledge of matrix theory and the theory of finite-dimensional vector spaces.We use an axiomatic, mostly-matrix-based approach in the book, both as a way of presenting the theory in a natural and simple setting, and as a means for translating the theory into practical codes. We deviate a little from the matrix-based-approach in the presentation of the framework for nonlinear problems in the latter part of the book. That nonlinear analysis, based on subspace decompositions, represents an area of current research. In fact, the book takes the reader all the way from the basics and simple implementation issues to the front lines of multigrid research.Coding the multigrid method is notoriously difficult. The current book, which contains several sample codes in the finite element and cell-centered finite difference frameworks, will train the interested reader in the construction of sophisticated, efficient multigrid codes using the simple but powerful MATLAB© programming environment.

Applications of Computer Vision in Fashion and Textiles provides a systematic and comprehensive discussion of three key areas that are taking advantage of developments in computer vision technology, namely textile defect detection and quality control, fashion recognition and 3D modeling, and 2D and 3D human body modeling for improving clothing fit. It introduces the fundamentals of computer vision techniques for fashion and textile applications, also reviewing computer vision techniques for textile quality control, including chapters on wavelet transforms, Gibor filters, Fourier transforms, and neural network techniques. Final sections cover recognition, modeling, retrieval technologies and advanced human shape modeling techniques.

The book is essential reading for scientists and researchers working in the field of fashion production, quality assurance, product development, textiles, fashion supply chain managers, R&D professionals and managers in the textile industry.

Explores computer vision technology with reference to improving budget, quality and schedule control in textile manufacturing Provides a thorough understanding of the role of computer vision in developing intelligent systems for the fashion and textiles industries Elucidates the connections between human body modeling technology and intelligent manufacturing systems

Applications of Computer Vision in Fashion and Textiles provides a systematic and comprehensive discussion of three key areas that are taking advantage of developments in computer vision technology, namely textile defect detection and quality control, fashion recognition and 3D modeling, and 2D and 3D human body modeling for improving clothing fit. It introduces the fundamentals of computer vision techniques for fashion and textile applications, also reviewing computer vision techniques for textile quality control, including chapters on wavelet transforms, Gibor filters, Fourier transforms, and neural network techniques. Final sections cover recognition, modeling, retrieval technologies and advanced human shape modeling techniques.The book is essential reading for scientists and researchers working in the field of fashion production, quality assurance, product development, textiles, fashion supply chain managers, R&D professionals and managers in the textile industry.- Explores computer vision technology with reference to improving budget, quality and schedule control in textile manufacturing- Provides a thorough understanding of the role of computer vision in developing intelligent systems for the fashion and textiles industries- Elucidates the connections between human body modeling technology and intelligent manufacturing systems

Practitioners in apparel manufacturing and retailing enterprises in the fashion industry, ranging from senior to front line management, constantly face complex and critical decisions. There has been growing interest in the use of artificial intelligence (AI) techniques to enhance this process, and a number of AI techniques have already been successfully applied to apparel production and retailing. Optimizing decision making in the apparel supply chain using artificial intelligence (AI): From production to retail provides detailed coverage of these techniques, outlining how they are used to assist decision makers in tackling key supply chain problems. Key decision points in the apparel supply chain and the fundamentals of artificial intelligence techniques are the focus of the opening chapters, before the book proceeds to discuss the use of neural networks, genetic algorithms, fuzzy set theory and extreme learning machines for intelligent sales forecasting and intelligent product cross-selling systems.Helps the reader gain an understanding of the key decision points in the apparel supply chainDiscusses the fundamentals of artificial intelligence techniques for apparel management techniquesConsiders the use of neural networks in selecting the location of apparel manufacturing plants

Practitioners in apparel manufacturing and retailing enterprises in the fashion industry, ranging from senior to front line management, constantly face complex and critical decisions. There has been growing interest in the use of artificial intelligence (AI) techniques to enhance this process, and a number of AI techniques have already been successfully applied to apparel production and retailing. Optimizing decision making in the apparel supply chain using artificial intelligence (AI): From production to retail provides detailed coverage of these techniques, outlining how they are used to assist decision makers in tackling key supply chain problems. Key decision points in the apparel supply chain and the fundamentals of artificial intelligence techniques are the focus of the opening chapters, before the book proceeds to discuss the use of neural networks, genetic algorithms, fuzzy set theory and extreme learning machines for intelligent sales forecasting and intelligent product cross-selling systems.- Helps the reader gain an understanding of the key decision points in the apparel supply chain- Discusses the fundamentals of artificial intelligence techniques for apparel management techniques- Considers the use of neural networks in selecting the location of apparel manufacturing plants

Fashion Supply Chain Management Using Radio Frequency Identification (RFID) Technologies looks at the application of RFID technologies in such areas as order allocation, garment manufacturing, product tracking, distribution and retail. As supply chains in the textiles and fashion industry become ever more complex and global, and as the shift to mass customization puts more pressure on a rapid and flexible response to customer needs, monitoring and improving supply chain efficiency in the industry becomes crucial. Radio frequency identification (RFID) technologies offer a unique opportunity to achieve these goals.

This book reviews the role of RFID technologies in the textiles and fashion supply chain to improve distribution, process management and product tracking, garment manufacturing, and assembly line operations. It also explores how RFID technologies can improve order allocation in the supply chain, and how these technologies can also be used for intelligent apparel product cross-selling. Its chapters also discuss measuring the impact of RFID technologies in improving the efficiency of the textile supply chain, and modeling the effectiveness of RFID technologies in improving sales performance in fashion retail outlets.

Fashion Supply Chain Management Using Radio Frequency Identification (RFID) Technologies is a comprehensive resource for academic researchers, industry managers, and professionals within the fashion industry.

Looks at the application of RFID technologies in order allocation, garment manufacturing, product tracking, distribution, and retail Reviews RFID technologies in the textiles and fashion supply chain for improving distribution, process management and product tracking, garment manufacturing, and assembly line operations Focuses on measuring the impact of RFID technologies on efficiency, and modeling the effectiveness of RFID technologies in improving retail outlet sales

Fashion Supply Chain Management Using Radio Frequency Identification (RFID) Technologies looks at the application of RFID technologies in such areas as order allocation, garment manufacturing, product tracking, distribution and retail. As supply chains in the textiles and fashion industry become ever more complex and global, and as the shift to mass customization puts more pressure on a rapid and flexible response to customer needs, monitoring and improving supply chain efficiency in the industry becomes crucial. Radio frequency identification (RFID) technologies offer a unique opportunity to achieve these goals.This book reviews the role of RFID technologies in the textiles and fashion supply chain to improve distribution, process management and product tracking, garment manufacturing, and assembly line operations. It also explores how RFID technologies can improve order allocation in the supply chain, and how these technologies can also be used for intelligent apparel product cross-selling. Its chapters also discuss measuring the impact of RFID technologies in improving the efficiency of the textile supply chain, and modeling the effectiveness of RFID technologies in improving sales performance in fashion retail outlets.Fashion Supply Chain Management Using Radio Frequency Identification (RFID) Technologies is a comprehensive resource for academic researchers, industry managers, and professionals within the fashion industry.- Looks at the application of RFID technologies in order allocation, garment manufacturing, product tracking, distribution, and retail- Reviews RFID technologies in the textiles and fashion supply chain for improving distribution, process management and product tracking, garment manufacturing, and assembly line operations- Focuses on measuring the impact of RFID technologies on efficiency, and modeling the effectiveness of RFID technologies in improving retail outlet sales

This book introduces the theory and application of multigrid methods for the fast numerical solution of linear and weakly nonlinear elliptic PDE. No previous exposure to numerical discretization methods is assumed. All that is required of the reader is curiosity and some basic knowledge of matrix theory and the theory of finite-dimensional vector spaces.We use an axiomatic, mostly-matrix-based approach in the book, both as a way of presenting the theory in a natural and simple setting, and as a means for translating the theory into practical codes. We deviate a little from the matrix-based-approach in the presentation of the framework for nonlinear problems in the latter part of the book. That nonlinear analysis, based on subspace decompositions, represents an area of current research. In fact, the book takes the reader all the way from the basics and simple implementation issues to the front lines of multigrid research.Coding the multigrid method is notoriously difficult. The current book, which contains several sample codes in the finite element and cell-centered finite difference frameworks, will train the interested reader in the construction of sophisticated, efficient multigrid codes using the simple but powerful MATLAB© programming environment.