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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2007-01-01
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Series: | EURASIP Journal on Advances in Signal Processing |
Online Access: | http://asp.eurasipjournals.com/content/2007/032503 |