Nicu D. Cornea, M. Fatih Demirci, Deborah Silver, Ali Shokoufandeh, Sven J. Dickinson, Paul B. Kantor  Home/Search
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Abstract: 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... (Update)
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BibTeX entry: (Update)
@misc{ cornea-object,
author = "Nicu D. Cornea and M. Fatih Demirci and Deborah Silver and Ali Shokoufandeh
and Sven J. Dickinson and Paul B. Kantor",
title = "3D Object Retrieval Using Many-to-Many Matching of Curve Skeletons",
url = "citeseer.ist.psu.edu/cornea05object.html" }
Citations (may not include all citations):370 Network Flows: Theory (context) - Ahuja, Magnanti et al. - 1993
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5 Three-dimensional skeleton and centerline generation based o.. (context) - Zhou, Kaufman et al. - 1998
5 Many-to-many graph matching via metric embedding - Keselman, Shokoufandeh et al. - 2003
5 Parameter controlled volume thinning (context) - Gagvani, Silver - 1999
3 Skeletonization of three-dimensional object using generalize.. (context) - Chuang, Tsai - 2000
1 Computing hierarchical curve-skeletons of 3d objects (context) - Cornea, Silver et al. - 2004
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