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» Sampling and Reconstruction of Surfaces and Higher Dimension...
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BMVC
2010
14 years 7 months ago
Iterative Hyperplane Merging: A Framework for Manifold Learning
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
Harry Strange, Reyer Zwiggelaar
94
Voted
SGP
2004
14 years 12 months ago
Comparing Point Clouds
Point clouds are one of the most primitive and fundamental surface representations. A popular source of point clouds are three dimensional shape acquisition devices such as laser ...
Facundo Mémoli, Guillermo Sapiro
CVPR
2010
IEEE
14 years 12 months ago
Learning 3D Shape from a Single Facial Image via Non-linear Manifold Embedding and Alignment
The 3D reconstruction of a face from a single frontal image is an ill-posed problem. This is further accentuated when the face image is captured under different poses and/or compl...
Xianwang Wang, Ruigang Yang
PR
2007
100views more  PR 2007»
14 years 9 months ago
Linear manifold clustering in high dimensional spaces by stochastic search
Classical clustering algorithms are based on the concept that a cluster center is a single point. Clusters which are not compact around a single point are not candidates for class...
Robert M. Haralick, Rave Harpaz
85
Voted
COMPGEOM
2010
ACM
15 years 1 months ago
Manifold reconstruction using tangential Delaunay complexes
We give a provably correct algorithm to reconstruct a kdimensional manifold embedded in d-dimensional Euclidean space. Input to our algorithm is a point sample coming from an unkn...
Jean-Daniel Boissonnat, Arijit Ghosh