Multivariate Density-Based 3D Shape Descriptors

@article{Akgl2007MultivariateD3,
  title={Multivariate Density-Based 3D Shape Descriptors},
  author={Ceyhun Burak Akg{\"u}l and B{\"u}lent Sankur and Francis J. M. Schmitt and Y{\"u}cel Yemez},
  journal={IEEE International Conference on Shape Modeling and Applications 2007 (SMI '07)},
  year={2007},
  pages={3-12}
}
We address the 3D object retrieval problem using multivariate density-based shape descriptors. Considering the fusion of first and second order local surface information, we construct multivariate features up to five dimensions and process them by the kernel density estimation methodology to obtain descriptor vectors. We can compute these descriptors very efficiently using the fast Gauss transform algorithm. We also make use of descriptor level information fusion by concatenating descriptor… CONTINUE READING
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