Abstract
A fit evaluation can be conducted to determine a clothing is good or not in terms of concrete criteria such as the appearance, the comfort, etc.. However, the existing criteria are still inadequate in predicting the clothing fit in virtual reality and providing numeric recommendations. This research is aimed to develop the criteria of fit evaluation for men’s shirt with regard to body measurements, 2D pattern block, 3D virtual fitting and shirt photos. The databases of consumer’s opinions about misfit of men’s shirt and real try-on photos were first established based on the online resources. Derived from the well-fitted customized pattern block, the variant pattern blocks with estimated reasons of misfit were generated by gradually change the responsible indexes. The specific criteria for different shirt segments were determined by integrating the fit level, real photos, virtual images, body measurements and pattern block. The developed criteria can be not only used for exactly evaluating the fit of sewed shirt, but also for predicting the fit and providing numeric recommendations.
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