Abstract | ||
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We present a shape description framework that generates a multitude of shape descriptors through a variety of design and continuum of parameter choices. Our parameter is a surface mesh, referred to as the template, which is supplied at run time, and allows generating different shape descriptors for the same model. Our framework extracts a numerical shape descriptor by computing a selected function on the model mesh, mapping (transferring) it to the template, expanding the mapped function in terms of a basis on the template, and collecting the expansion coefficients into a vector. We investigate possible design choices for the steps in the framework, and introduce novel approaches that provide further freedom in generating a multitude of previously unknown descriptors. We show that our approach is a generalization of the way some of the existing numerical descriptors are defined, and that for appropriate template choices one is able to reproduce some of the well-known descriptors. Finally, we show empirically that design and parameter choices have non-trivial effects on the descriptor’s performance, and that better retrieval results can be obtained by combining descriptors obtained via different templates. |
Year | DOI | Venue |
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2010 | 10.1007/s00371-010-0518-y | The Visual Computer |
Keywords | Field | DocType |
different template,3d shape retrieval · numerical shape descriptors · barycentric coordinates · laplace-beltrami eigenfunctions · diffusion wavelets,numerical shape descriptor,well-known descriptors,versatile framework,existing numerical descriptors,shape descriptors,shape description framework,parameter choice,unknown descriptors,appropriate template choice,different shape descriptors | Computer vision,Computer science,Barycentric coordinates,Diffusion wavelets,Artificial intelligence,Template,Numerical descriptors,Heat kernel signature | Journal |
Volume | Issue | ISSN |
26 | 10 | 1432-2315 |
Citations | PageRank | References |
4 | 0.38 | 29 |
Authors | ||
1 |
Name | Order | Citations | PageRank |
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Raif M. Rustamov | 1 | 251 | 19.58 |