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WACV
2005
IEEE
16 years 7 days ago
Using Co-Occurrence and Segmentation to Learn Feature-Based Object Models from Video
A number of recent systems for unsupervised featurebased learning of object models take advantage of cooccurrence: broadly, they search for clusters of discriminative features tha...
Thomas S. Stepleton, Tai Sing Lee
SIGGRAPH
2003
ACM
15 years 12 months ago
Mesh modelling with curve analogies
Modelling by analogy has become a powerful paradigm for editing images. Using a pair of before- and afterexample images of a transformation, a system that models by analogy produc...
Steve Zelinka, Michael Garland
ICRA
1998
IEEE
111views Robotics» more  ICRA 1998»
15 years 11 months ago
Weighting Observations: The Use of Kinematic Models in Object Tracking
We describe a model-based object tracking system that updates the configuration parameters of an object model based upon information gathered from a sequence of monocular images. ...
Kevin Nickels, Seth Hutchinson
ICIP
2010
IEEE
15 years 4 months ago
Gaussian mixture models for spots in microscopy using a new split/merge em algorithm
In confocal microscopy imaging, target objects are labeled with fluorescent markers in the living specimen, and usually appear as spots in the observed images. Spot detection and ...
Kangyu Pan, Anil C. Kokaram, Jens Hillebrand, Mani...
ICPR
2010
IEEE
15 years 4 months ago
Discriminant and Invariant Color Model for Tracking under Abrupt Illumination Changes
The output from a color imaging sensor, or apparent color, can change considerably due to illumination conditions and scene geometry changes. In this work we take into account the...
Jorge Scandaliaris, Alberto Sanfeliu