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» Mercer Kernels for Object Recognition with Local Features
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ICPR
2000
IEEE
16 years 5 months ago
Detecting Rotational Symmetries Using Normalized Convolution
Perceptual experiments indicate that corners and curvature are very important features in the process of recognition. This paper presents a new method to detect rotational symmetr...
Björn Johansson, Gösta H. Granlund, Hans...
ICCV
2003
IEEE
16 years 6 months ago
A Sparse Probabilistic Learning Algorithm for Real-Time Tracking
This paper addresses the problem of applying powerful pattern recognition algorithms based on kernels to efficient visual tracking. Recently Avidan [1] has shown that object recog...
Oliver M. C. Williams, Andrew Blake, Roberto Cipol...
ICCV
2009
IEEE
15 years 1 months ago
Non-Euclidean image-adaptive Radial Basis Functions for 3D interactive segmentation
In the context of variational image segmentation, we propose a new finite-dimensional implicit surface representation. The key idea is to span a subset of implicit functions with ...
Benoit Mory, Roberto Ardon, Anthony J. Yezzi, Jean...
ICCV
1999
IEEE
16 years 6 months ago
Projective Alignment with Regions
?We have recently proposed an approach to recognition that uses regions to determine the pose of objects while allowing for partial occlusion of the regions. Regions introduce an a...
Ronen Basri, David W. Jacobs
ECCV
2006
Springer
16 years 6 months ago
Learning Compositional Categorization Models
Abstract. This contribution proposes a compositional approach to visual object categorization of scenes. Compositions are learned from the Caltech 101 database1 intermediate abstra...
Björn Ommer, Joachim M. Buhmann