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» Recognizing 3D Objects Using Photometric Invariant
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ICIP
2002
IEEE
15 years 11 months ago
Template tracking using color invariant pixel features
In our method for tracking objects, appearance features are smoothed by robust and adaptive Kalman filters, one to each pixel, making the method robust against occlusions. While t...
Hieu Tat Nguyen, Arnold W. M. Smeulders
ICPR
2006
IEEE
15 years 10 months ago
Trains of keypoints for 3D object recognition
This paper presents a 3D object recognition method that exploits the spatio-temporal coherence of image sequences to capture the object most relevant features. We start from an im...
Elise Arnaud, Francesca Odone, Alessandro Verri
ACCV
2010
Springer
14 years 4 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
3DIM
2005
IEEE
15 years 3 months ago
Unsupervised 3D Object Recognition and Reconstruction in Unordered Datasets
This paper presents a system for fully automatic recognition and reconstruction of 3D objects in image databases. We pose the object recognition problem as one of finding consist...
Matthew Brown, David G. Lowe
IJCV
2000
180views more  IJCV 2000»
14 years 9 months ago
Probabilistic Models of Appearance for 3-D Object Recognition
We describe how to model the appearance of a 3-D object using multiple views, learn such a model from training images, and use the model for object recognition. The model uses pro...
Arthur R. Pope, David G. Lowe