Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Online Resource
    Online Resource
    Association for Computing Machinery (ACM) ; 2008
    In:  ACM Transactions on Graphics Vol. 27, No. 3 ( 2008-08), p. 1-10
    In: ACM Transactions on Graphics, Association for Computing Machinery (ACM), Vol. 27, No. 3 ( 2008-08), p. 1-10
    Abstract: Extraction of curve-skeletons is a fundamental problem with many applications in computer graphics and visualization. In this paper, we present a simple and robust skeleton extraction method based on mesh contraction. The method works directly on the mesh domain, without pre-sampling the mesh model into a volumetric representation. The method first contracts the mesh geometry into zero-volume skeletal shape by applying implicit Laplacian smoothing with global positional constraints. The contraction does not alter the mesh connectivity and retains the key features of the original mesh. The contracted mesh is then converted into a 1D curve-skeleton through a connectivity surgery process to remove all the collapsed faces while preserving the shape of the contracted mesh and the original topology. The centeredness of the skeleton is refined by exploiting the induced skeleton-mesh mapping. In addition to producing a curve skeleton, the method generates other valuable information about the object's geometry, in particular, the skeleton-vertex correspondence and the local thickness, which are useful for various applications. We demonstrate its effectiveness in mesh segmentation and skinning animation.
    Type of Medium: Online Resource
    ISSN: 0730-0301 , 1557-7368
    Language: English
    Publisher: Association for Computing Machinery (ACM)
    Publication Date: 2008
    detail.hit.zdb_id: 2006336-2
    detail.hit.zdb_id: 625686-7
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages