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Markerless garment capture

Published: 01 August 2008 Publication History

Abstract

A lot of research has recently focused on the problem of capturing the geometry and motion of garments. Such work usually relies on special markers printed on the fabric to establish temporally coherent correspondences between points on the garment's surface at different times. Unfortunately, this approach is tedious and prevents the capture of off-the-shelf clothing made from interesting fabrics.
In this paper, we describe a marker-free approach to capturing garment motion that avoids these downsides. We establish temporally coherent parameterizations between incomplete geometries that we extract at each timestep with a multiview stereo algorithm. We then fill holes in the geometry using a template. This approach, for the first time, allows us to capture the geometry and motion of unpatterned, off-the-shelf garments made from a range of different fabrics.

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Cited By

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  • (2023)Garment Model Extraction from Clothed Mannequin ScanComputer Graphics Forum10.1111/cgf.1480442:6Online publication date: 14-May-2023
  • (2023)PERGAMO: Personalized 3D Garments from Monocular VideoComputer Graphics Forum10.1111/cgf.1464441:8(293-304)Online publication date: 20-Mar-2023
  • (2023)DeepCloth: Neural Garment Representation for Shape and Style EditingIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2022.316856945:2(1581-1593)Online publication date: 1-Feb-2023
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Information

Published In

cover image ACM Transactions on Graphics
ACM Transactions on Graphics  Volume 27, Issue 3
August 2008
844 pages
ISSN:0730-0301
EISSN:1557-7368
DOI:10.1145/1360612
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 August 2008
Published in TOG Volume 27, Issue 3

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Author Tags

  1. cloth modeling
  2. image processing
  3. motion capture
  4. object scanning/acquisition
  5. surface reconstruction

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Cited By

View all
  • (2023)Garment Model Extraction from Clothed Mannequin ScanComputer Graphics Forum10.1111/cgf.1480442:6Online publication date: 14-May-2023
  • (2023)PERGAMO: Personalized 3D Garments from Monocular VideoComputer Graphics Forum10.1111/cgf.1464441:8(293-304)Online publication date: 20-Mar-2023
  • (2023)DeepCloth: Neural Garment Representation for Shape and Style EditingIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2022.316856945:2(1581-1593)Online publication date: 1-Feb-2023
  • (2023)HUMBI: A Large Multiview Dataset of Human Body Expressions and Benchmark ChallengeIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2021.313876245:1(623-640)Online publication date: 1-Jan-2023
  • (2023)Visibility Aware Human-Object Interaction Tracking from Single RGB Camera2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52729.2023.00461(4757-4768)Online publication date: Jun-2023
  • (2023)Virtual Garment Fitting Through Parsing and Context-Aware Generative Adversarial Networks with Discriminator Group2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)10.1109/APSIPAASC58517.2023.10317305(1732-1738)Online publication date: 31-Oct-2023
  • (2023)Wrinkles Realistic Clothing Reconstruction by Combining Implicit and Explicit MethodComputer-Aided Design10.1016/j.cad.2023.103514160(103514)Online publication date: Jul-2023
  • (2022)Dressing AvatarsACM Transactions on Graphics10.1145/3550454.355545641:6(1-15)Online publication date: 30-Nov-2022
  • (2022)Pattern-Based Cloth Registration and Sparse-View AnimationACM Transactions on Graphics10.1145/3550454.355544841:6(1-17)Online publication date: 30-Nov-2022
  • (2022)MulayCap: Multi-Layer Human Performance Capture Using a Monocular Video CameraIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2020.302776328:4(1862-1879)Online publication date: 1-Apr-2022
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