3D object retrieval using many-to-many matching of curve skeletons

We present a 3D matching framework based on a many-to-many matching algorithm that works with skeletal representations of 3D volumetric objects. We demonstrate the performance of this approach on a large database of 3D objects containing more than 1000 exemplars. The method is especially suited to m...

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Bibliographic Details
Main Authors: Cornea, N.D., Demirci, M.F., Silver, D., Shokoufandeh, Dickinson, S.J., Kantor, P.B.
Format: Conference Proceeding
Language:English
Subjects:
Computer graphics
Computer vision
Cornea
Image databases
Robustness
Shape control
Skeleton
Topology
Visual databases
Visualization
Online Access:Request full text
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Description
Summary:We present a 3D matching framework based on a many-to-many matching algorithm that works with skeletal representations of 3D volumetric objects. We demonstrate the performance of this approach on a large database of 3D objects containing more than 1000 exemplars. The method is especially suited to matching objects with distinct part structure and is invariant to part articulation. Skeletal matching has an intuitive quality that helps in defining the search and visualizing the results. In particular, the matching algorithm produces a direct correspondence between two skeletons and their parts, which can be used for registration and juxtaposition.
DOI:10.1109/SMI.2005.1