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» Image binarization focusing on objects
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CVPR
1999
IEEE
14 years 2 months ago
A New Bayesian Framework for Object Recognition
We introduce an approach to feature-based object recognition, using maximum a posteriori (MAP) estimation under a Markov random field (MRF) model. This approach provides an effici...
Yuri Boykov, Daniel P. Huttenlocher
UIST
1999
ACM
14 years 2 months ago
The Information Percolator: Ambient Information Display in a Decorative Object
Most current interface designs require that the user focus their attention on them in order to be of value. However, as the price of computation falls, and computational capabilit...
Jeremy M. Heiner, Scott E. Hudson, Kenichiro Tanak...
CVPR
2004
IEEE
14 years 1 months ago
Visual Object Categorization Using Distance-Based Discriminant Analysis
This paper formulates the problem of object categorization in the discriminant analysis framework focusing on transforming visual feature data so as to make it conform to the comp...
Serhiy Kosinov, Stéphane Marchand-Maillet, ...
IJCV
2000
132views more  IJCV 2000»
13 years 9 months ago
2 1/2 D Visual Servoing with Respect to Unknown Objects Through a New Estimation Scheme of Camera Displacement
Classical visual servoing techniques need a strong a priori knowledge of the shape and the dimensions of the observed objects. In this paper, we present how the 2 1/2 D visual serv...
Ezio Malis, François Chaumette
ICASSP
2011
IEEE
13 years 1 months ago
A visual attention model combining top-down and bottom-up mechanisms for salient object detection
Selective attention in the human visual system is performed as the way that humans focus on the most important parts when observing a visual scene. Many bottom-up computational mo...
Yuming Fang, Weisi Lin, Chiew Tong Lau, Bu-Sung Le...