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ICIP
2005
IEEE
16 years 5 months ago
Local manifold matching for face recognition
In this paper, we propose a novel classification method, called local manifold matching (LMM), for face recognition. LMM has great representational capacity of available prototypes...
Wei Liu, Wei Fan, Yunhong Wang, Tieniu Tan
ICRA
1998
IEEE
91views Robotics» more  ICRA 1998»
15 years 7 months ago
Selecting Targets for Local Reference Frames
This paper addresses the problem of seeking out parts of the environment that provide adequate features in order to perform robot localization. The objective is to choose good regi...
Saul Simhon, Gregory Dudek
ICRA
2005
IEEE
146views Robotics» more  ICRA 2005»
15 years 9 months ago
Vision SLAM in the Measurement Subspace
— In this paper we describe an approach to feature representation for simultaneous localization and mapping, SLAM. It is a general representation for features that addresses symm...
John Folkesson, Patric Jensfelt, Henrik I. Christe...
CVPR
2001
IEEE
16 years 5 months ago
Learning Spatially Localized, Parts-Based Representation
In this paper, we propose a novel method, called local nonnegative matrix factorization (LNMF), for learning spatially localized, parts-based subspace representation of visual pat...
Stan Z. Li, XinWen Hou, HongJiang Zhang, QianSheng...
IROS
2008
IEEE
158views Robotics» more  IROS 2008»
15 years 9 months ago
A GPS and laser-based localization for urban and non-urban outdoor environments
— This paper introduces a localization based on GPS and laser measurements for urban and non-urban outdoor environments. In this approach, the GPS pose is Kalman filtered using w...
Matthias Hentschel, Oliver Wulf, Bernardo Wagner