ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
We present a regression-based scheme for multi-view facial expression recognition based on 2-D geometric features. We address the problem by mapping facial points (e.g. mouth corn...
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
We propose a novel strategy, based on resampling of 3D meshes, to recognize facial expressions. This entails conversion of the existing irregular 3D mesh structure in the database ...
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
Although many methods of refining initialization have appeared, the sensitivity of K-Means to initial centers is still an obstacle in applications. In this paper, we investigate a...
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
In the presence of non-gaussian noise, we propose a method for the detection of underwater shipradiated signal. The wavelet decomposition of the underwater signal yields a natural...
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
Abstract--In this paper, we (1) provide a complete framework for classification using Variational Mixture of Experts (VME); (2) derive the variational lower bound; and (3) apply th...
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
We address here the problem of color constancy and propose a new method to achieve color constancy based on the statistics of images with color cast. Images with color cast have st...
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
Abstract--In this paper we introduce a probabilistic approach of building extraction in remotely sensed images. To cope with data heterogeneity we construct a flexible hierarchical...
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
This paper deals with the construction of a non parametric multiscale analysis from a 1D parametric decomposition of shapes where the elements of the decomposition are geometric p...
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
Unlike most previous manifold-based data classification algorithms assume that all the data points are on a single manifold, we expect that data from different classes may reside ...