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Modeling deformable objects from a single depth camera

  • Miao Liao
  • , Qing Zhang
  • , Huamin Wang
  • , Ruigang Yang
  • , Minglun Gong

Producción científica: Conference contributionrevisión exhaustiva

100 Citas (Scopus)

Resumen

We propose a novel approach to reconstruct complete 3D deformable models over time by a single depth camera, provided that most parts of the models are observed by the camera at least once. The core of this algorithm is based on the assumption that the deformation is continuous and predictable in a short temporal interval. While the camera can only capture part of a whole surface at any time instant, partial surfaces reconstructed from different times are assembled together to form a complete 3D surface for each time instant, even when the shape is under severe deformation. A mesh warping algorithm based on linear mesh deformation is used to align different partial surfaces. A volumetric method is then used to combine partial surfaces, fix missing holes, and smooth alignment errors. Our experiment shows that this approach is able to reconstruct visually plausible 3D surface deformation results with a single camera.

Idioma originalEnglish
Título de la publicación alojada2009 IEEE 12th International Conference on Computer Vision, ICCV 2009
Páginas167-174
Número de páginas8
DOI
EstadoPublished - 2009
Evento12th International Conference on Computer Vision, ICCV 2009 - Kyoto, Japan
Duración: sept 29 2009oct 2 2009

Serie de la publicación

NombreProceedings of the IEEE International Conference on Computer Vision

Conference

Conference12th International Conference on Computer Vision, ICCV 2009
País/TerritorioJapan
CiudadKyoto
Período9/29/0910/2/09

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition

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