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» Unsupervised detection of contours using a statistical model
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ICIP
2003
IEEE
15 years 3 months ago
A general framework for designing image processing algorithms for coherent polarimetric images
We describe a general framework to design optimal image processing algorithms for polarimetric images formed with coherent radiations, which can be optical or microwave. Starting ...
François Goudail, Frédéric Ga...
AMDO
2000
Springer
15 years 2 months ago
Analysis of Human Motion Using Snakes and Neural Networks
: A novel technique is described for analysing human movement in outdoor scenes. Following initial detection of the humans using active contour models, the contours are then re-rep...
Ken Tabb, Neil Davey, Rod Adams, Stella J. George
ACL
2006
14 years 11 months ago
An All-Subtrees Approach to Unsupervised Parsing
We investigate generalizations of the allsubtrees "DOP" approach to unsupervised parsing. Unsupervised DOP models assign all possible binary trees to a set of sentences ...
Rens Bod
ICPR
2006
IEEE
15 years 10 months ago
A Higher-Order Active Contour Model for Tree Detection
We present a model of a `gas of circles', the ensemble of regions in the image domain consisting of an unknown number of circles with approximately fixed radius and short ran...
Peter Horvath, Ian Jermyn, Zoltan Kato, and Josian...
ISBI
2004
IEEE
15 years 10 months ago
A Probabilistic Framework for the Detection and Tracking in Time of Multiple Sclerosis Lesions
A novel statistical scheme for the automatic detection and tracking in time of relapsing-remitting multiple sclerosis (MS) lesions in image sequences is described. Coherent space-...
Allon Shahar, Hayit Greenspan