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» Automatic feature localisation with constrained local models
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ICIP
2005
IEEE
14 years 9 months ago
Joint feature-spatial-measure space: a new approach to highly efficient probabilistic object tracking
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...
Feng Chen, XiaoTong Yuan, ShuTang Yang
JMLR
2010
151views more  JMLR 2010»
13 years 2 months ago
The Feature Selection Path in Kernel Methods
The problem of automatic feature selection/weighting in kernel methods is examined. We work on a formulation that optimizes both the weights of features and the parameters of the ...
Fuxin Li, Cristian Sminchisescu
TMI
2002
155views more  TMI 2002»
13 years 7 months ago
Active Shape Model Segmentation with Optimal Features
Abstract--An active shape model segmentation scheme is presented that is steered by optimal local features, contrary to normalized first order derivative profiles, as in the origin...
Bram van Ginneken, Alejandro F. Frangi, Joes Staal...
VIS
2004
IEEE
124views Visualization» more  VIS 2004»
14 years 8 months ago
Constrained Inverse Volume Rendering for Planetary Nebulae
Determining the three-dimensional structure of distant astronomical objects is a challenging task, given that terrestrial observations provide only one viewpoint. For this task, b...
Charles D. Hansen, Gordon L. Kindlmann, Marcus A. ...
MICCAI
2005
Springer
14 years 8 months ago
Shape Modeling Using Automatic Landmarking
Abstract. This paper describes a novel approach to automatically recover accurate correspondence over various shapes. In order to detect the features points with the capability in ...
Jun Xie, Pheng-Ann Heng