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ACCV
2010
Springer
12 years 11 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
CVPR
1998
IEEE
14 years 6 months ago
The Sample Tree: A Sequential Hypothesis Testing Approach to 3D Object Recognition
A method is presented for e cient and reliable object recognition within noisy, cluttered, and occluded range images. The method is based on a strategy which hypothesizes the inte...
Michael A. Greenspan
JVCA
2000
232views more  JVCA 2000»
13 years 4 months ago
Realistic surface reconstruction of 3D scenes from uncalibrated image sequences
This contribution addresses the problem of obtaining 3D models from image sequences. A 3D surface description of the scene is extracted completely from a set of uncalibrated camer...
Reinhard Koch, Marc Pollefeys, Luc J. Van Gool
ICCV
2003
IEEE
14 years 6 months ago
A New Paradigm for Recognizing 3-D Object Shapes from Range Data
Most of the work on 3-D object recognition from range data has used an alignment-verification approach in which a specific 3-D object is matched to an exact instance of the same o...
Salvador Ruiz-Correa, Linda G. Shapiro, Marina Mei...
3DIM
2011
IEEE
12 years 4 months ago
A Non-cooperative Game for 3D Object Recognition in Cluttered Scenes
Abstract—During the last few years a wide range of algorithms and devices have been made available to easily acquire range images. To this extent, the increasing abundance of dep...
Andrea Albarelli, Emanuele Rodolà, Filippo ...