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147
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ACCV
2010
Springer
14 years 8 months ago
An Efficient RANSAC for 3D Object Recognition in Noisy and Occluded Scenes
In this paper, we present an efficient algorithm for 3D object recognition in presence of clutter and occlusions in noisy, sparse and unsegmented range data. The method uses a robu...
Chavdar Papazov, Darius Burschka
MICCAI
2005
Springer
15 years 7 months ago
Learning Best Features for Deformable Registration of MR Brains
Abstract. This paper presents a learning method to select best geometric features for deformable brain registration. Best geometric features are selected for each brain location, a...
Guorong Wu, Feihu Qi, Dinggang Shen
SCALESPACE
2007
Springer
15 years 8 months ago
Best Basis Compressed Sensing
This paper proposes an extension of compressed sensing that allows to express the sparsity prior in a dictionary of bases. This enables the use of the random sampling strategy of c...
Gabriel Peyré
149
Voted
IROS
2009
IEEE
188views Robotics» more  IROS 2009»
15 years 8 months ago
Novelty detection and 3D shape retrieval based on Gaussian Mixture Models for autonomous surveillance robotics
Abstract— This paper describes an efficient method for retrieving the 3-dimensional shape associated to novelties in the environment of an autonomous robot, which is equipped wi...
Pedro Núñez Trujillo, Paulo Drews, R...
AFRIGRAPH
2009
ACM
15 years 5 months ago
Analytic simplification of animated characters
Traditionally, levels of detail (LOD) for animated characters are computed from a single pose. Later techniques refined this approach by considering a set of sample poses and eval...
Bruce Merry, Patrick Marais, James E. Gain