645 search results - page 24 / 129 » Modeling object classes in aerial images using hidden Markov... |
104
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BMVC
1998
15 years 1 months ago
1998
This paper presents a detailed comparative study of 4 rotation invariant texture analysis methods. Human subjects are included as a benchmark for the computational methods. Experi...
CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
Considerable advances have been made in learning to recognize and localize visual object classes. Simple bag-offeature approaches label each pixel or patch independently. More adv...
105
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ICIP
2009
IEEE
16 years 25 days ago
2009
IEEE
The classification of urban landscape in aerial LiDAR point clouds is useful in 3D modeling and object recognition applications in urban environments. In this paper, we introduce ...
ACCV
1998
Springer
15 years 4 months ago
1998
Springer
This paper isconcerned with learning the canonical gray scalestructure of the images of a classof objects. Structure is defined in terms of the geometry and layout of salientimage...
121
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ICPR
2006
IEEE
16 years 26 days ago
2006
IEEE
A new approach to align an image of a textured object with a given prototype is proposed. Visual appearance of the images, after equalizing their signals, is modeled with a Markov...