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» Using Photometric Invariants for 3D Object Recognition
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PAMI
2008
160views more  PAMI 2008»
14 years 11 months ago
Parametric Image Alignment Using Enhanced Correlation Coefficient Maximization
In this work, we propose the use of a modified version of the correlation coefficient as a performance criterion for the image alignment problem. The proposed modification has the ...
Georgios D. Evangelidis, Emmanouil Z. Psarakis
ICPR
2006
IEEE
16 years 28 days ago
A Model-based Approach for Rigid Object Recognition
Most object recognition systems require large databases of real images for classifier training. To collect real images for this purpose is a difficult and expensive process. This ...
Chee Boon Chong, Fee-Lee Lim, Tele Tan
ICML
2006
IEEE
16 years 19 days ago
Permutation invariant SVMs
We extend Support Vector Machines to input spaces that are sets by ensuring that the classifier is invariant to permutations of subelements within each input. Such permutations in...
Pannagadatta K. Shivaswamy, Tony Jebara
CVPR
2011
IEEE
14 years 7 months ago
Deformation and Illumination Invariant Feature Point Descriptor
Recent advances in 3D shape recognition have shown that kernels based on diffusion geometry can be effectively used to describe local features of deforming surfaces. In this paper...
Francesc Moreno (Institut de Robotica i Informatic...
AGI
2011
14 years 3 months ago
Generalization of Figure-Ground Segmentation from Binocular to Monocular Vision in an Embodied Biological Brain Model
Abstract. Humans have the remarkable ability to generalize from binocular to monocular figure-ground segmentation of complex scenes. This is clearly evident anytime we look at a p...
Brian Mingus, Trent Kriete, Seth A. Herd, Dean Wya...