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ECCV
2010
Springer
15 years 2 months ago
Efficient Highly Over-Complete Sparse Coding using a Mixture Model
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...
ICCV
2009
IEEE
14 years 7 months ago
Incremental Multiple Kernel Learning for object recognition
A good training dataset, representative of the test images expected in a given application, is critical for ensuring good performance of a visual categorization system. Obtaining ...
Aniruddha Kembhavi, Behjat Siddiquie, Roland Miezi...
CVPR
2005
IEEE
15 years 11 months ago
Isophote Properties as Features for Object Detection
Usually, object detection is performed directly on (normalized) gray values or gray primitives like gradients or Haar-like features. In that case the learning of relationships bet...
Jeroen Lichtenauer, Emile A. Hendriks, Marcel J. T...
ICRA
2006
IEEE
106views Robotics» more  ICRA 2006»
15 years 3 months ago
Real-time Object Detection using Segmented and Grayscale Images
- This paper describes an approach that performs visual object detection in real-time by combining the strength of processing the color segmented image along with that of the grays...
Juan Fasola, Manuela M. Veloso
DAGM
2003
Springer
15 years 3 months ago
Localization of Piled Boxes by Means of the Hough Transform
Automatic unloading of piled boxes of unknown dimensions is undoubtedly of great importance to the industry. In this contribution a system addressing this problem is described: a l...
Dimitrios Katsoulas