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CVPR
2012
IEEE
11 years 9 months ago
Background modeling using adaptive pixelwise kernel variances in a hybrid feature space
Recent work on background subtraction has shown developments on two major fronts. In one, there has been increasing sophistication of probabilistic models, from mixtures of Gaussi...
Manjunath Narayana, Allen R. Hanson, Erik G. Learn...
ICCV
2003
IEEE
14 years 9 months ago
Inferring 3D Structure with a Statistical Image-Based Shape Model
We present an image-based approach to infer 3D structure parameters using a probabilistic "shape+structure" model. The 3D shape of an object class is represented by sets...
Kristen Grauman, Gregory Shakhnarovich, Trevor Dar...
IJCV
2010
131views more  IJCV 2010»
13 years 5 months ago
Using the Particle Filter Approach to Building Partial Correspondences Between Shapes
Abstract Constructing correspondencesbetween points characterizing one shape with those characterizing another is crucial to understanding what the two shapes have in common. These...
Rolf Lakämper, Marc Sobel
SIGIR
2003
ACM
14 years 18 days ago
Image classification using hybrid neural networks
Use of semantic content is one of the major issues which needs to be addressed for improving image retrieval effectiveness. We present a new approach to classify images based on t...
Chih-Fong Tsai, Kenneth McGarry, John Tait
CVPR
2008
IEEE
14 years 9 months ago
Correspondences between parts of shapes with particle filters
Given two shapes, the correspondence between distinct visual features is the basis for most alignment processes and shape similarity measures. This paper presents an approach intr...
Rolf Lakämper, Marc Sobel