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ESANN
2003
13 years 9 months ago
Semi-automatic acquisition and labelling of image data using SOMs
Abstract. Application of neural networks for real world object recognition suffers from the need to acquire large quantities of labelled image data. We propose a solution that acq...
Gunther Heidemann, Axel Saalbach, Helge Ritter
RAS
2008
156views more  RAS 2008»
13 years 7 months ago
Curious George: An attentive semantic robot
State-of-the-art methods have recently achieved impressive performance for recognising the objects present in large databases of pre-collected images. There has been much less foc...
David Meger, Per-Erik Forssén, Kevin Lai, S...
CVPR
2007
IEEE
14 years 9 months ago
Recognizing Groceries in situ Using in vitro Training Data
The problem of using pictures of objects captured under ideal imaging conditions (here referred to as in vitro) to recognize objects in natural environments (in situ) is an emergi...
Michele Merler, Carolina Galleguillos, Serge Belon...
CSUR
2004
149views more  CSUR 2004»
13 years 7 months ago
A review of vessel extraction techniques and algorithms
Vessel segmentation algorithms are the critical components of circulatory blood vessel analysis systems. We present a survey of vessel extraction techniques and algorithms. We put ...
Cemil Kirbas, Francis K. H. Quek
WSCG
2004
139views more  WSCG 2004»
13 years 9 months ago
Extraction of Volumetric Structures in an Illuminance Image
An original method is proposed to extract the most significant volumetric structures in an illuminance image. The method proceeds in three levels of organization managed by generi...
Marielle Mokhtari, Robert Bergevin