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» Shape Priors using Manifold Learning Techniques
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165
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ISBI
2011
IEEE
14 years 5 months ago
Laplace-Beltrami eigenfunction expansion of cortical manifolds
We represent a shape representation technique using the eigenfunctions of Laplace-Beltrami operator and compare the performance with the conventional spherical harmonic (SPHARM) r...
Seongho Seo, Moo K. Chung
CVPR
2005
IEEE
16 years 3 months ago
On Modelling Nonlinear Shape-and-Texture Appearance Manifolds
Statistical shape-and-texture appearance models employ image metamorphosis to form a rich, compact representation of object appearance. They achieve their efficiency by decomposin...
Chris Mario Christoudias, Trevor Darrell
NIPS
2001
15 years 3 months ago
Adaptive Sparseness Using Jeffreys Prior
In this paper we introduce a new sparseness inducing prior which does not involve any (hyper)parameters that need to be adjusted or estimated. Although other applications are poss...
Mário A. T. Figueiredo
ICML
2005
IEEE
16 years 2 months ago
Implicit surface modelling as an eigenvalue problem
We discuss the problem of fitting an implicit shape model to a set of points sampled from a co-dimension one manifold of arbitrary topology. The method solves a non-convex optimis...
Christian Walder, Olivier Chapelle, Bernhard Sch&o...
148
Voted
ECCV
2008
Springer
16 years 3 months ago
Estimating 3D Face Model and Facial Deformation from a Single Image Based on Expression Manifold Optimization
Facial expression modeling is central to facial expression recognition and expression synthesis for facial animation. Previous works reported that modeling the facial expression wi...
Shu-Fan Wang, Shang-Hong Lai