Title :
Reconstructing 3D garment from still images
Author_Institution :
Coll. of Textiles, Donghua Univ., Shanghai, China
Abstract :
Online garment shopping and retailing has attracted more and more customers and traditional companies from apparel industry in recent five years. The major challenge of online garment shopping is the way of demonstrating the apparel products and the way of evaluating the fit/ease information since the garment cannot be physically tried on. In this paper, we present the solutions of 3D online garment demonstration according to image sewing and draping, and the method of fit/ease extraction from volume slicing on the 3D avatar. Physically-based fabric modeling and Shape from Shading (SFS) are employed as the foundation of the aforementioned solutions. Experimental results and visual effects validate the efficiency of our proposed methods when applied to 3D online garment demonstration.
Keywords :
Internet; avatars; clothing; clothing industry; feature extraction; image reconstruction; retail data processing; 3D avatar; 3D garment reconstruction; 3D online garment demonstration; apparel industry; apparel products; fit/ease image extraction; garment retailing; image draping; image sewing; online garment shopping; physically-based fabric modeling; still images; Avatars; Clothing; Data mining; Educational institutions; Fabrics; Image reconstruction; Shape; Strain control; Textile industry; Visual effects; 3D demonstration; fit/ease; garment; online shopping;
Conference_Titel :
Computer-Aided Industrial Design & Conceptual Design, 2009. CAID & CD 2009. IEEE 10th International Conference on
Conference_Location :
Wenzhou
Print_ISBN :
978-1-4244-5266-8
Electronic_ISBN :
978-1-4244-5268-2
DOI :
10.1109/CAIDCD.2009.5375231
