Computer Science and Information Engineering, World Congress on (2009)
Los Angeles, California USA
Mar. 31, 2009 to Apr. 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.838
The paper presents a technique of 3D fashion modeling from photographs of wearing clothes in front and back views. Firstly, an efficient segmentation method is applied on photographs to obtain the silhouette of the fashion. Then, a template-based feature extraction algorithm is introduced to determine the feature points on the garment. Finally, a view-dependent deformation technique is described to construct the fashion by deforming the garment template. Our segmentation algorithm is derived from Mathematical Morphology and image difference method. The deformation technique is related to free-form deformations and vector field of mannequin. With our deformation method, the main feature of fashion is preserved. Compared with other predefined fashion modeling approaches, the efficient and realistic of constructing is greatly increased. The functionality of garment model constructed by our method can apply to some others applications for garment industry.
Jin Wang, Yu-Lei Geng, Guo-Dong Lu, Wei-Long Li, "3D Fashion Fast Modeling from Photographs", Computer Science and Information Engineering, World Congress on, vol. 01, no. , pp. 738-742, 2009, doi:10.1109/CSIE.2009.838