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3D Object Reconstruction from Hand-Object Interactions


Conference Paper


Recent advances have enabled 3d object reconstruction approaches using a single off-the-shelf RGB-D camera. Although these approaches are successful for a wide range of object classes, they rely on stable and distinctive geometric or texture features. Many objects like mechanical parts, toys, household or decorative articles, however, are textureless and characterized by minimalistic shapes that are simple and symmetric. Existing in-hand scanning systems and 3d reconstruction techniques fail for such symmetric objects in the absence of highly distinctive features. In this work, we show that extracting 3d hand motion for in-hand scanning effectively facilitates the reconstruction of even featureless and highly symmetric objects and we present an approach that fuses the rich additional information of hands into a 3d reconstruction pipeline, significantly contributing to the state-of-the-art of in-hand scanning.

Author(s): Dimitrios Tzionas and Juergen Gall
Book Title: International Conference on Computer Vision (ICCV)
Pages: 729-737
Year: 2015
Month: December

Department(s): Perceiving Systems
Research Project(s): Hands in Action
Bibtex Type: Conference Paper (inproceedings)
Paper Type: Conference

DOI: 10.1109/ICCV.2015.90
Event Name: International Conference on Computer Vision (ICCV)
Event Place: Santiago, Chile

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Extended Abstract


  title = {3D Object Reconstruction from Hand-Object Interactions},
  author = {Tzionas, Dimitrios and Gall, Juergen},
  booktitle = {International Conference on Computer Vision (ICCV)},
  pages = {729-737},
  month = dec,
  year = {2015},
  month_numeric = {12}