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» Sampling on locally defined principal manifolds
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ECCV
2006
Springer
16 years 1 months ago
A General Framework for Motion Segmentation: Independent, Articulated, Rigid, Non-rigid, Degenerate and Non-degenerate
Abstract. We cast the problem of motion segmentation of feature trajectories as linear manifold finding problems and propose a general framework for motion segmentation under affin...
Jingyu Yan, Marc Pollefeys
CGF
2000
155views more  CGF 2000»
14 years 11 months ago
Surface Reconstruction Based on Lower Dimensional Localized Delaunay Triangulation
We present a fast, memory efficient algorithm that generates a manifold triangular mesh S passing through a set of unorganized points P R3 . Nothing is assumed about the geometry,...
M. Gopi, Shankar Krishnan, Cláudio T. Silva
BMVC
2010
14 years 9 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
AAAI
2007
15 years 2 months ago
Isometric Projection
Recently the problem of dimensionality reduction has received a lot of interests in many fields of information processing. We consider the case where data is sampled from a low d...
Deng Cai, Xiaofei He, Jiawei Han
ICIP
2007
IEEE
16 years 1 months ago
Projection onto a Shape Manifold for Image Segmentation with Prior
Image segmentation with shape priors has received a lot of attention over the past years. Most existing work focuses on a linearized shape space with small deformation modes aroun...
Florent Ségonne, Patrick Etyngier, Renaud K...