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» MMM-classification of 3D range data
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GFKL
2007
Springer
202views Data Mining» more  GFKL 2007»
14 years 1 months ago
Collective Classification for Labeling of Places and Objects in 2D and 3D Range Data
In this paper, we present an algorithm to identify types of places and objects from 2D and 3D laser range data obtained in indoor environments. Our approach is a combination of a c...
Rudolph Triebel, Óscar Martínez Mozo...
ICRA
2009
IEEE
158views Robotics» more  ICRA 2009»
13 years 7 months ago
MMM-classification of 3D range data
This paper presents a method for accurately segmenting and classifying 3D range data into particular object classes. Object classification of input images is necessary for applicat...
Anuraag Agrawal, Atsushi Nakazawa, Haruo Takemura
SMI
2008
IEEE
139views Image Analysis» more  SMI 2008»
14 years 4 months ago
Noise in 3D laser range scanner data
This paper discusses noise in range data measured by a Konica Minolta Vivid 910 scanner. Previous papers considering denoising 3D mesh data have often used artificial data compri...
Xianfang Sun, Paul L. Rosin, Ralph R. Martin, Fran...
ICPR
2002
IEEE
14 years 2 months ago
3-D Object Representation from Multi-View Range Data Applying Deformable Superquadrics
This paper presents a new framework for recovering superquadrics with global deformations from multi-view real range data. The framework aims at improving confidence and accuracy...
Yan Zhang, Joon Ki Paik, Andreas Koschan, Mongi A....
UAI
2004
13 years 11 months ago
Recovering Articulated Object Models from 3D Range Data
We address the problem of unsupervised learning of complex articulated object models from 3D range data. We describe an algorithm whose input is a set of meshes corresponding to d...
Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang,...