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ECCV
2010
Springer
13 years 7 months ago
Superpixels and Supervoxels in an Energy Optimization Framework
Many methods for object recognition, segmentation, etc., rely on tessellation of an image into "superpixels". A superpixel is an image patch which is better aligned with ...
Olga Veksler, Yuri Boykov, Paria Mehrani
ICIP
2003
IEEE
14 years 9 months ago
Robust background estimation for complex video sequences
Knowing the background image of a video scene simplifies the general video-object segmentation problem and therefore it is required by several automatic segmentation algorithms. T...
Dirk Farin, Peter H. N. de With, Wolfgang Effelsbe...
CVPR
2008
IEEE
14 years 9 months ago
Simultaneous image transformation and sparse representation recovery
Sparse representation in compressive sensing is gaining increasing attention due to its success in various applications. As we demonstrate in this paper, however, image sparse rep...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas
ECCV
2004
Springer
14 years 9 months ago
Model Selection for Range Segmentation of Curved Objects
In the present paper, we address the problem of recovering the true underlying model of a surface while performing the segmentation. A novel criterion for surface (model) selection...
Alireza Bab-Hadiashar, Niloofar Gheissari
PRL
2007
125views more  PRL 2007»
13 years 7 months ago
Combining color and spatial information for object recognition across illumination changes
One of the most widely used approaches in the context of object recognition across illumination changes consists in comparing the images by means of the intersection between invar...
Damien Muselet, Ludovic Macaire