Spectral shape analysis

Spectral shape analysis relies on the spectrum (eigenvalues and/or eigenfunctions) of the Laplace–Beltrami operator to compare and analyze geometric… Expand
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Papers overview

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2017
2017
The use of Laplacian eigenfunctions is ubiquitous in a wide range of computer graphics and geometry processing applications. In… Expand
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2016
2016
The heat kernel is a fundamental solution in mathematical physics to distribution measurement of heat energy within a fixed… Expand
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Highly Cited
2014
Highly Cited
2014
Informative and discriminative feature descriptors play a fundamental role in deformable shape analysis. For example, they have… Expand
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2014
2014
Display Omitted Geometrically salient points can be recognized by anatomists as meaningful locations on 3D human body scans… Expand
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2012
2012
In this paper we explore the ability of MPEG-7- low level audio descriptors to model the seven emotional categories included in… Expand
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2011
2011
Informative and discriminative feature descriptors play a fundamental role in deformable shape analysis. For example, they have… Expand
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2009
2009
Within this study we apply a speech emotion recognition engine on the detection of microsleep endangered sleepiness states… Expand
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Highly Cited
2006
Highly Cited
2006
This paper introduces a method to extract 'Shape-DNA', a numerical fingerprint or signature, of any 2d or 3d manifold (surface or… Expand
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2006
2006
This paper describes the development of the objective method for the prediction of the Basic Audio Quality (BAQ) of bandlimited… Expand
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Highly Cited
1995
Highly Cited
1995
A model of spectral shape analysis in the central auditory system is developed based on neurophysiological mappings in the… Expand
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