4.7 Article

Transferring and fitting fixed-sized garments onto bodies of various dimensions and postures

期刊

COMPUTER-AIDED DESIGN
卷 106, 期 -, 页码 30-42

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.cad.2018.08.002

关键词

Garment transfer; Garment fitting; Physically based modeling; Cloth simulation; Skeleton-driven deformation; Collision detection

资金

  1. NSF of China [51575481, 61379096, 61732015]
  2. China Guangdong's ST Project [2017B090912001]
  3. Zhejiang Provincial NSF, China [LY18F020004]

向作者/读者索取更多资源

Many virtual try-on systems involve transferring and fitting garments to bodies of various shapes and postures, with grade preservation. To achieve this goal, garments must be treated as elastic models and their deformation is controlled by the laws of dynamics. Moreover, a collision-free state must be maintained during the simulation, as well as in the final draping state. We present a complete pipeline that concentrates on solving two problems: (1) deforming the target body towards the reference body, and (2) simulating the garment with robust handling of not only impending but also pre-existing collisions. Our solution to the first problem is a skeleton-driven framework, which consists of a collection of techniques, including skeleton embedding, skeleton posture alignment and skeleton-driven mesh deformation. For skeleton posture alignment, we decouple the orientation of each joint into two components: swing and twist, and align them separately. Treating garment models as rigid, the deformed target 'fits' into the garments with as few penetrations as possible. When solving the second problem, the body/garment penetrations are untangled along with cloth simulation, so that a collision-free state can be achieved. After that, the deformed target body restores its original shape gradually, while the garments are physically simulated to maintain a collision-free state, until a final draping state is reached on the fully restored target body. Examples show that the proposed framework is effective for garment transfer and fitness evaluation, and can be potentially used in applications like online shopping or customization. (C) 2018 Elsevier Ltd. All rights reserved.

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