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» Object Representation using 1D Displacement Mapping
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ICRA
2005
IEEE
116views Robotics» more  ICRA 2005»
14 years 1 months ago
Using Hierarchical EM to Extract Planes from 3D Range Scans
— Recently, the acquisition of three-dimensional maps has become more and more popular. This is motivated by the fact that robots act in the three-dimensional world and several t...
Rudolph Triebel, Wolfram Burgard, Frank Dellaert
ICPR
2006
IEEE
14 years 8 months ago
Object Localization Using Input/Output Recursive Neural Networks
Localizing objects in images is a difficult task and represents the first step to the solution of the object recognition problem. This paper presents a novel approach to the local...
Lorenzo Sarti, Marco Maggini, Monica Bianchini
ECCV
2004
Springer
14 years 28 days ago
Pose Invariant Face Recognition Under Arbitrary Unknown Lighting Using Spherical Harmonics
Abstract. We propose a new method for face recognition under arbitrary pose and illumination conditions, which requires only one training image per subject. Furthermore, no limitat...
Lei Zhang 0002, Dimitris Samaras
SMA
2008
ACM
154views Solid Modeling» more  SMA 2008»
13 years 7 months ago
Solid height-map sets: modeling and visualization
Height maps are a very efficient surface representation, initially developed for terrain modeling and visualization. They are also present in other applications, such as mesostruc...
Paulo I. N. Santos, Rodrigo de Toledo, Marcelo Gat...
IROS
2008
IEEE
144views Robotics» more  IROS 2008»
14 years 1 months ago
Task maps in humanoid robot manipulation
— This paper presents an integrative approach to solve the coupled problem of reaching and grasping an object in a cluttered environment with a humanoid robot. While finding an ...
Michael Gienger, Marc Toussaint, Christian Goerick