With the improvement of CAD/CG (computer-aided design and computer graphics) technology and the development of VR (virtual reality) and AR (augmented reality) techniques, more and more real-world items surrounding people have been digitalized and displayed in the virtual world as well as people themselves. Among all the items, garment product is an essential one to be recreated for its close relationship with human body, but it is labor- and time-intensive to construct and simulate the models due to the need of pattern making background, large garment style/shape variation and flexible object nature. Meanwhile, current e-commerce platforms have a requirement to convert real garment products into 3D (three-dimensional) models followed by providing customers with not only fine ren...[ Read more ]

With the improvement of CAD/CG (computer-aided design and computer graphics) technology and the development of VR (virtual reality) and AR (augmented reality) techniques, more and more real-world items surrounding people have been digitalized and displayed in the virtual world as well as people themselves. Among all the items, garment product is an essential one to be recreated for its close relationship with human body, but it is labor- and time-intensive to construct and simulate the models due to the need of pattern making background, large garment style/shape variation and flexible object nature. Meanwhile, current e-commerce platforms have a requirement to convert real garment products into 3D (three-dimensional) models followed by providing customers with not only fine rendering effect but also online virtual dressing service. Although state-of-art CG techniques can satisfactorily achieve lifelike garment modeling and rendering in movies, they are still not capable to handle enormous online virtual dressing and individual garment fitting demand. Based on these reasons, a systematic framework and related techniques are proposed in this dissertation to improve the efficiency of garment transposition, garment customization based on feature-based model matching method.

More specifically, a scenario from real data collection, human and garment modeling, to database construction and virtual dressing is firstly introduced, based on which a comprehensive literature review on classic and recent cloth simulation, garment modeling and model matching is given to analyze and compare existed methods on solving garment transposition and customization problems. To break a bottleneck in virtual dressing industry, a solution workflow is introduced to address garment transposition and the manipulation problems in 3D garment customization. The foundation of proposed solution is feature-based model matching method by which different garment models and human models are linked together and parameterized using same set of features. Each process of transposition and manipulation acts as an operation executed from object-level down to feature-level followed by geometry-level. Detailed algorithms such as human model cross-parameterization and feature-based automatic garment segmentation are designed and the rules to control model matching are also given. According to the relationship obtained from garment and human model matching, several garment model manipulation and deformation tools acting on parameter domain are developed to adjust model shape and meet fitting requirement. Moreover, some detail techniques such as geometric collision analysis, strain analysis and limiting catering for proposed garment transposition method are also enhanced based on existed works to refine deformed models being more visually plausible.

Benefitting from the features of proposed solution and detailed techniques, an example database consisting of dressed human characters can be built for virtual garment oriented application such as online virtual dressing, individual garment customization or even real-time animation.