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TMM
2002
117views more  TMM 2002»
13 years 4 months ago
Rotation invariant texture characterization and retrieval using steerable wavelet-domain hidden Markov models
We present a new statistical model for characterizing texture images based on wavelet-domain hidden Markov models. With a small number of parameters, the new model captures both th...
Minh N. Do, Martin Vetterli
ICRA
2010
IEEE
151views Robotics» more  ICRA 2010»
13 years 3 months ago
Estimation of model parameters for steerable needles
Abstract— Flexible needles with bevel tips are being developed as useful tools for minimally invasive surgery and percutaneous therapy. When such a needle is inserted into soft t...
Wooram Park, Kyle Brandon Reed, Allison M. Okamura...
CVPR
1998
IEEE
14 years 7 months ago
Motion Feature Detection Using Steerable Flow Fields
The estimation and detection of occlusion boundaries and moving bars are important and challenging problems in image sequence analysis. Here, we model such motion features as line...
David J. Fleet, Michael J. Black, Allan D. Jepson
ICCV
2007
IEEE
14 years 6 months ago
Steerable Random Fields
In contrast to traditional Markov random field (MRF) models, we develop a Steerable Random Field (SRF) in which the field potentials are defined in terms of filter responses that ...
Stefan Roth, Michael J. Black
ICANN
2010
Springer
13 years 6 months ago
Self-Organization of Steerable Topographic Mappings as Basis for Translation Invariance
One way to handle the perception of images that change in position (or size, orientation or deformation) is to invoke rapidly changing fiber projections to project images into a fi...
Junmei Zhu, Urs Bergmann, Christoph von der Malsbu...