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CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
Classifying pictures into one of several semantic categories is a classical image understanding problem. In this paper, we present a stratified approach to both binary (outdoor-in...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
In this work we seek to move away from the traditional paradigm for 2D object recognition whereby objects are identified in the image as 2D bounding boxes. We focus instead on: i...
TCSV
2008
13 years 7 months ago
2008
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
ESANN
2006
13 years 9 months ago
2006
Invariance is a necessary feature of a visual system able to recognize real objects in all their possible appearance. It is also the processing step most problematic to understand ...
PREMI
2007
Springer
14 years 1 months ago
2007
Springer
We address the issue of segmenting multiple textured objects in presence of a background texture. The proposed technique is based on Geodesic Active Contour (GAC) and can segment m...