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» Compositional Variability - Concepts and Patterns
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ECCV
2000
Springer
16 years 5 months ago
Unsupervised Learning of Models for Recognition
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
Markus Weber, Max Welling, Pietro Perona
ICPR
2008
IEEE
16 years 4 months ago
Illumination invariants based on Markov random fields
We propose textural features, which are invariant to illumination spectrum and extremely robust to illumination direction. They require only a single training image per texture an...
Pavel Vacha, Michal Haindl
ICPR
2006
IEEE
16 years 4 months ago
Modelling Crowd Scenes for Event Detection
This work presents an automatic technique for detection of abnormal events in crowds. Crowd behaviour is difficult to predict and might not be easily semantically translated. More...
Ernesto L. Andrade, Robert B. Fisher, Scott Blunsd...
ICPR
2004
IEEE
16 years 4 months ago
Adjustable Invariant Features by Partial Haar-Integration
A very common type of a-priori knowledge in pattern analysis problems is invariance of the input data with respect to transformation groups, e.g. geometric transformations of imag...
Alaa Halawani, Bernard Haasdonk, Hans Burkhardt
IPMI
1999
Springer
16 years 4 months ago
Registration of Cortical Anatomical Structures via Robust 3D Point Matching
Abstract. Inter-subjectnon-rigid registration of cortical anatomical structures as seen in MR is a challenging problem. The variability of the sulcal and gyral patterns across pati...
Haili Chui, James Rambo, James S. Duncan, Robert T...