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» Object Recognition as Many-to-Many Feature Matching
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CVPR
2008
IEEE
14 years 12 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
ECCV
2006
Springer
14 years 11 months ago
SURF: Speeded Up Robust Features
In this paper, we present a novel scale- and rotation-invariant interest point detector and descriptor, coined SURF (Speeded Up Robust Features). It approximates or even outperform...
Herbert Bay, Tinne Tuytelaars, Luc J. Van Gool
SCALESPACE
2007
Springer
14 years 4 months ago
3D Object Recognition by Eigen-Scale-Space of Contours
People often recognize 3D objects by their boundary shape. Designing an algorithm for such a task is interesting and useful for retrieving objects from a shape database. In this pa...
Tim K. Lee, Mark S. Drew
ICPR
2000
IEEE
14 years 11 months ago
Mixture Densities for Video Objects Recognition
The appearance of non-rigid objects detected and tracked in video streams is highly variable and therefore makes the identification of similar objects very complex. Furthermore, i...
Riad I. Hammoud, Roger Mohr
ICPR
2008
IEEE
14 years 4 months ago
3D object recognition by fast spherical correlation between combined view EGIs and PFT
This paper proposes a method to recognize 3D object from probed range image under arbitrary pose by fast spherical correlation. First, all view EGIs under different viewpoints are...
Donghui Wang, Hui Qian