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
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Part 1: Fundamentals of common computer vision techniques for fashion and textile applications 1. Fundamentals of common computer vision techniques for textile quality control 2. Fundamentals of common computer vision techniques for fashion and textile recognition, modeling and retrieval
Part 2: Computer vision techniques for textile quality control 3-6. Wavelet transform, Gibor filter, Fourier transform, neural network technique
Part 3: Fashion and textile recognition, modeling and retrieval 7. Fashion extraction and segmentation 8. Fashion accessory segmentation 9. Cloth modelling and simulation 10. Fashion modeling 11. Textile image retrieval
Part 4: Human shape modeling and estimation for fashion 12-14. Human shape modeling 15. Precise shape estimation of dressed subjects from two-view image sets
W. K. Wong is full professor at The Hong Kong Polytechnic University, Hong Kong and is currently with the endowed professorship title as Cheng Yik Hung Professor in Fashion. His areas of research range from computer vision to artificial intelligence with applications in the textile and fashion industries. He has published over hundred research articles in high-impact artificial intelligence related journals and serves as editorial board member of several journals. He also provides consultancy services to fashion and textile companies in the industry.