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ECCV
2000
Springer
14 years 11 months ago
Non-linear Bayesian Image Modelling
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...
Christopher M. Bishop, John M. Winn
ECCV
2000
Springer
14 years 11 months ago
A Physically-Based Statistical Deformable Model for Brain Image Analysis
A probabilistic deformable model for the representation of brain structures is described. The statistically learned deformable model represents the relative location of head (skull...
Christophoros Nikou, Fabrice Heitz, Jean-Paul Arms...
ICPR
2000
IEEE
14 years 10 months ago
Topographic Maps of Color Images
We address the problem of extending topographic maps to color images. A topographic map gives a morphological and a geometrical representation of the information contained in natu...
Bartomeu Coll, Jacques Froment
ICPR
2000
IEEE
14 years 10 months ago
Feature Relevance Learning with Query Shifting for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
Douglas R. Heisterkamp, Jing Peng, H. K. Dai
DCC
2000
IEEE
14 years 1 months ago
Fast Progressive Image Coding without Wavelets
We introduce a new image compression algorithm that allows progressive image reconstruction – both in resolution and in fidelity, with a fully embedded bitstream. The algorithm ...
Henrique S. Malvar