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IVC
2008
147views more  IVC 2008»
14 years 9 months ago
Distinctive and compact features
We consider the problem of extracting features for multi-class recognition problems. The features are required to make fine distinction between similar classes, combined with tole...
Ayelet Akselrod-Ballin, Shimon Ullman
NIPS
2001
14 years 11 months ago
Probabilistic principles in unsupervised learning of visual structure: human data and a model
To find out how the representations of structured visual objects depend on the co-occurrence statistics of their constituents, we exposed subjects to a set of composite images wit...
Shimon Edelman, Benjamin P. Hiles, Hwajin Yang, Na...
ICIP
2009
IEEE
15 years 10 months ago
Classifying Urban Landscape In Aerial Lidar Using 3d Shape Analysis
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 ...
ICVS
2003
Springer
15 years 2 months ago
A Framework for Visual Servoing
We consider typical manipulation tasks in terms of a service robot framework. Given a task at hand, such as ”Pick up the cup from the dinner table”, we present a number of diff...
Danica Kragic, Henrik I. Christensen
CVPR
2004
IEEE
15 years 11 months ago
Flexible Spatial Models for Grouping Local Image Features
A key step for the effective use of local image features (i.e., highly distinctive and robust features) for recognition or image matching is the appropriate grouping of feature ma...
Gustavo Carneiro, Allan D. Jepson