Motion-based mesh segmentation using augmented silhouettes

Stefano Marras*, Michael M. Bronstein, Kai Hormann, Riccardo Scateni, Roberto Scopigno

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Motion-based segmentation, the problem of detecting rigid parts of an articulated three-dimensional shape, is an open challenge that has several applications in mesh animation, compression, and interpolation. We present a novel approach that uses the visual perception of the shape and its motion to distinguish the rigid from the deformable parts of the object. Using two-dimensional projections of the different shape poses with respect to a number of different view points, we derive a set of one-dimensional curves, which form a superset of the mesh silhouettes. Analysing these augmented silhouettes, we identify the vertices of the mesh that correspond to the deformable parts, and a subsequent clustering approach, which is based on the diffusion distance, yields a motion-based segmentation of the shape.

Original languageEnglish
Pages (from-to)164-172
Number of pages9
JournalGraphical Models
Volume74
Issue number4
DOIs
StatePublished - Jul 2012
Externally publishedYes

Funding

FundersFunder number
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung200021-134639

    Keywords

    • Motion
    • Motion-based mesh segmentation
    • Perception
    • Silhouette

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