We propose an automatic garment seam modeling framework to create a garment model with the seam structure from a single image. In order to achieve this, a marked seam image database and parametric seam models have been set up. Given a real seam image, we first identify the type of the seam image based on our marked seam image database and seam parameters are parsed automatically by our sewing thread estimation method. Then the seam initial model is generated through the pre-defined seam parametric models. A garment model with the seam structure is finally obtained based on the seam position information which users have marked on the garment. Moreover, we verify the effectiveness of our method with numerous experiments.
This work was partially supported by the National Natural Science Foundation of China under Grant Nos. 61532003 and 61421003.
About author: Chen-Xu Zhang is a Master student of School of Computer Science and Engineering, Beihang University, Beijing. He received his B.S. degree in software engineering from Beihang University, Beijing, in 2015. His research interests include computer graphics, virtual reality, and augmented reality.
Chen-Xu Zhang, Xiao-Wu Chen, Hong-Yu Wu, Bin Zhou.基于单幅图像的服装缝合线建模[J] Journal of Computer Science and Technology , 2018,V33(3): 463-474
Chen-Xu Zhang, Xiao-Wu Chen, Hong-Yu Wu, Bin Zhou.Modeling Garment Seam from a Single Image[J] Journal of Computer Science and Technology, 2018,V33(3): 463-474
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