Density-Based 3D Shape Descriptors

<p/> <p>We propose a novel probabilistic framework for the extraction of density-based 3D shape descriptors using kernel density estimation. Our descriptors are derived from the probability density functions (pdf) of local surface features characterizing the 3D object geometry. Assuming...

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Bibliographic Details
Main Authors: Schmitt Francis, Yemez Y&#252;cel, Akg&#252;l Ceyhun Burak, Sankur B&#252;lent
Format: Article
Language:English
Published: SpringerOpen 2007-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://asp.eurasipjournals.com/content/2007/032503