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» Joint data alignment up to (lossy) transformations
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CVPR
2008
IEEE
14 years 6 months ago
Joint data alignment up to (lossy) transformations
Joint data alignment is often regarded as a data simplification process. This idea is powerful and general, but raises two delicate issues. First, one must make sure that the usef...
Andrea Vedaldi, Gregorio Guidi, Stefano Soatto
MICCAI
2004
Springer
14 years 5 months ago
: Multi-subject Registration for Unbiased Statistical Atlas Construction
This paper introduces a new similarity measure designed to bring a population of segmented subjects into alignment in a common coordinate system. Our metric aligns each subject wit...
Mathieu De Craene, Aloys du Bois d'Aische, Beno&ic...
ICASSP
2009
IEEE
13 years 11 months ago
Nonparametric curve alignment
Congealing is a flexible nonparametric data-driven framework for the joint alignment of data. It has been successfully applied to the joint alignment of binary images of digits, ...
Marwan A. Mattar, Michael G. Ross, Erik G. Learned...
ICMLA
2009
13 years 2 months ago
Transformation Learning Via Kernel Alignment
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
Andrew Howard, Tony Jebara
ICIP
2008
IEEE
14 years 6 months ago
Joint encoding of the depth image based representation using shape-adaptive wavelets
We present a novel codec of depth-image-based representations for free-viewpoint 3D-TV. The proposed codec relies on a shape-adaptive wavelet transform and an explicit representat...
Matthieu Maitre, Minh N. Do