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» Image Segmentation Using Local Variation
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ICIP
2010
IEEE
13 years 8 months ago
Fast semantic scene segmentation with conditional random field
In this paper, we present a fast approach to obtain semantic scene segmentation with high precision. We employ a two-stage classifier to label all image pixels. First, we use the ...
Wen Yang, Dengxin Dai, Bill Triggs, Gui-Song Xia, ...
CVPR
2007
IEEE
15 years 3 days ago
Joint Priors for Variational Shape and Appearance Modeling
We are interested in modeling the variability of different images of the same scene, or class of objects, obtained by changing the imaging conditions, for instance the viewpoint o...
Jeremy D. Jackson, Anthony J. Yezzi, Stefano Soatt...
ICCV
2007
IEEE
15 years 1 days ago
Object Localisation Using Generative Probability Model for Spatial Constellation and Local Image Features
In this paper we apply state-of-the-art approach to object detection and localisation by incorporating local descriptors and their spatial configuration into a generative probabil...
Joni-Kristian Kamarainen, Miroslav Hamouz, Josef K...
ICIP
2004
IEEE
14 years 11 months ago
H-thinning for gray-scale images
Thinnings are very important operators for image analysis developed by mathematical morphology. Their most popular applications are the discrete homotopic skeletons. They are defi...
Sabrina Rami-Shojaei, Corinne Vachier
CVPR
2001
IEEE
15 years 3 days ago
3D Object Recognition from Range Images using Local Feature Histograms
This paper explores a view-based approach to recognize free-form objects in range images. We are using a set of local features that are easy to calculate and robust to partial occ...
Bastian Leibe, Bernt Schiele, Günter Hetzel, ...