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SIBGRAPI
1999
IEEE
15 years 10 months ago
Speckle Noise MAP Filtering Based on Local Adaptive Neighborhood Statistics
This work proposes the use of an adaptive neighborhood procedure to extract local statistical properties of images in order to improve a speckle noise "Maximum a Posteriori &q...
Fátima N. S. de Medeiros, Nelson D. A. Masc...
ICPR
2002
IEEE
16 years 7 months ago
Linear and Non-Linear Model for Statistical Localization of Landmarks
This paper presents and compares 3 methods for the statistical localization of partially occulted landmarks. In many real applications, some information is visible in images and s...
Barbara Romaniuk, Michel Desvignes, Marinette Reve...
CVPR
2010
IEEE
1248views Computer Vision» more  CVPR 2010»
16 years 2 months ago
Food Recognition Using Statistics of Pairwise Local Features
Food recognition is difficult because food items are deformable objects that exhibit significant variations in appearance. We believe the key to recognizing food is to exploit the...
Shulin Yang, Mei Chen, Dean Pomerleau, Rahul Sukth...
ICPR
2008
IEEE
16 years 28 days ago
Detecting queues at vending machines: A statistical layered approach
This paper presents a method for monitoring activities at a ticket vending machine in a video-surveillance context. Rather than relying on the output of a tracking module, which i...
Xavier Naturel, Jean-Marc Odobez
DAGM
2003
Springer
15 years 11 months ago
Training and Recognition of Complex Scenes Using a Holistic Statistical Model
We present a holistic statistical model for the automatic analysis of complex scenes. Here, holistic refers to an integrated approach that does not take local decisions about segme...
Daniel Keysers, Michael Motter, Thomas Deselaers, ...