• search hit 26 of 90
Back to Result List

Foldmatch: Accurate and High Fidelity Garment Fitting Onto 3D Scans

  • In this paper, we propose a new template fitting method that can capture fine details of garments in target 3D scans of dressed human bodies. Matching the high fidelity details of such loose/tight-fit garments is a challenging task as they express intricate folds, creases, wrinkle patterns, and other high fidelity surface details. Our proposed method of non-rigid shape fitting – FoldMatch – uses physics-based particle dynamics to explicitly model the deformation of loose-fit garments and wrinkle vector fields for capturing clothing details. The 3D scan point cloud behaves as a collection of astrophysical particles, which attracts the points in template mesh and defines the template motion model. We use this point-based motion model to derive regularized deformation gradients for the template mesh. We show the parameterization of the wrinkle vector fields helps in the accurate shape fitting. Our method shows better performance than the stateof-the-art methods. We define several deformation and shape matching quality measurement metricsIn this paper, we propose a new template fitting method that can capture fine details of garments in target 3D scans of dressed human bodies. Matching the high fidelity details of such loose/tight-fit garments is a challenging task as they express intricate folds, creases, wrinkle patterns, and other high fidelity surface details. Our proposed method of non-rigid shape fitting – FoldMatch – uses physics-based particle dynamics to explicitly model the deformation of loose-fit garments and wrinkle vector fields for capturing clothing details. The 3D scan point cloud behaves as a collection of astrophysical particles, which attracts the points in template mesh and defines the template motion model. We use this point-based motion model to derive regularized deformation gradients for the template mesh. We show the parameterization of the wrinkle vector fields helps in the accurate shape fitting. Our method shows better performance than the stateof-the-art methods. We define several deformation and shape matching quality measurement metrics to evaluate FoldMatch on synthetic and real data sets.show moreshow less

Export metadata

Additional Services

Search Google Scholar
Metadaten
Author: Sk Aziz Ali, Sikang Yan, Wolfgang DornischORCiD, Didier Stricker
URL:https://ieeexplore.ieee.org/document/9190730
DOI:https://doi.org/10.1109/ICIP40778.2020.9190730
ISBN:978-1-7281-6395-6
ISSN:2381-8549
Title of the source (English):2020 IEEE International Conference on Image Processing (ICIP)
Place of publication:Abu Dhabi, United Arab Emirates
Document Type:Conference publication peer-reviewed
Language:English
Year of publication:2020
Tag:Cloth Simulation; Deformation Gradient; N-body Problem; Shape Matching; Three-dimensional displays; Wrinkle Vector Field
Number of pages:5
Faculty/Chair:Fakultät 6 Architektur, Bauingenieurwesen und Stadtplanung / FG Statik und Dynamik
Einverstanden ✔
Diese Webseite verwendet technisch erforderliche Session-Cookies. Durch die weitere Nutzung der Webseite stimmen Sie diesem zu. Unsere Datenschutzerklärung finden Sie hier.