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» Analysis on a Local Approach to 3D Object Recognition
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DAGM
2010
Springer
13 years 8 months ago
3D Object Detection Using a Fast Voxel-Wise Local Spherical Fourier Tensor Transformation
In this paper we present a novel approach for expanding spherical 3D-tensor fields of arbitrary order in terms of a tensor valued local Fourier basis. For an efficient implementati...
Henrik Skibbe, Marco Reisert, Thorsten Schmidt, Kl...
ICPR
2004
IEEE
14 years 8 months ago
Spin Images for Retrieval of 3D Objects by Local and Global Similarity
The ever increasing availability of 3D models demands for tools supporting their effective and efficient management. Among these tools, those enabling content-based retrieval play...
Alberto Del Bimbo, Jürgen Assfalg, Pietro Pal...
ICRA
1999
IEEE
155views Robotics» more  ICRA 1999»
13 years 12 months ago
3-D Cueing: A Data Filter for Object Recognition
This paper presents a novel method for quickly filtering range data points to make object recognition in large 3D data sets feasible. The general approach, called "3D cueing,...
Owen T. Carmichael, Martial Hebert
MVA
2007
127views Computer Vision» more  MVA 2007»
13 years 9 months ago
Appearance Manifold with Embedded Covariance Matrix for Robust 3D Object Recognition
We propose use of an appearance manifold with embedded covariance matrix as a technique for recognizing 3D objects from images that are influenced by geometric and quality-degrade...
Lina, Tomokazu Takahashi, Ichiro Ide, Hiroshi Mura...
ACCV
2010
Springer
13 years 2 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