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ICRA
2003
IEEE
169views Robotics» more  ICRA 2003»
12 years 7 months ago
Robust model-based 3D object recognition by combining feature matching with tracking
− We propose a vision based 3D object recognition and tracking system, which provides high level scene descriptions such as object identification and 3D pose information. The sys...
Sungho Kim, In-So Kweon, Incheol Kim
FGR
2000
IEEE
230views Biometrics» more  FGR 2000»
12 years 6 months ago
A Robust Model-Based Approach for 3D Head Tracking in Video Sequences
We present a generic and robust method for model-based global 3D head pose estimation in monocular and non-calibrated video sequences. The proposed method relies on a 3D/2D matchi...
Marius Malciu, Françoise J. Prêteux
MVA
1996
109views Computer Vision» more  MVA 1996»
12 years 3 months ago
Model Based Tracking on 3D Objects
In this paper, a new tracking algorithm, based on local minimum energy, is proposed for matching between a projected model and corresponding image features in real-time. The algor...
Zheng Li, Han Wang
CVPR
2001
IEEE
13 years 3 months ago
Local Feature View Clustering for 3D Object Recognition
There have been important recent advances in object recognition through the matching of invariant local image features. However, the existing approaches are based on matching to i...
David G. Lowe
CVPR
2001
IEEE
13 years 3 months ago
3D Object Recognition from Range Images using Local Feature Histograms
This paper explores a view-based approach to recognize free-form objects in range images. We are using a set of local features that are easy to calculate and robust to partial occ...
Bastian Leibe, Bernt Schiele, Günter Hetzel, ...
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