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IVC
2007
184views more  IVC 2007»
13 years 7 months ago
Image distance functions for manifold learning
Many natural image sets are samples of a low-dimensional manifold in the space of all possible images. When the image data set is not a linear combination of a small number of bas...
Richard Souvenir, Robert Pless
ICRA
2010
IEEE
163views Robotics» more  ICRA 2010»
13 years 5 months ago
Hierarchical optimization on manifolds for online 2D and 3D mapping
Abstract— In this paper, we present a new hierarchical optimization solution to the graph-based simultaneous localization and mapping (SLAM) problem. During online mapping, the a...
Giorgio Grisetti, Rainer Kümmerle, Cyrill Sta...
ICCV
2011
IEEE
12 years 7 months ago
Robust Object Pose Estimation via Statistical Manifold Modeling
We propose a novel statistical manifold modeling approach that is capable of classifying poses of object categories from video sequences by simultaneously minimizing the intra-cla...
Liang Mei, Jingen Liu, Alfred Hero, Silvio Savares...
CAGD
2006
72views more  CAGD 2006»
13 years 7 months ago
Discrete one-forms on meshes and applications to 3D mesh parameterization
We describe how some simple properties of discrete one-forms directly relate to some old and new results concerning the parameterization of 3D mesh data. Our first result is an ea...
Steven J. Gortler, Craig Gotsman, Dylan Thurston
CAGD
2005
138views more  CAGD 2005»
13 years 7 months ago
Harmonic functions for quadrilateral remeshing of arbitrary manifolds
In this paper, we propose a new quadrilateral remeshing method for manifolds of arbitrary genus that is at once general, flexible, and efficient. Our technique is based on the use...
Shen Dong, Scott Kircher, Michael Garland