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» Probabilistic Modeling and Recognition of 3-D Objects
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CVPR
2009
IEEE
1561views Computer Vision» more  CVPR 2009»
15 years 3 months ago
SURFTrac: Efficient Tracking and Continuous Object Recognition using Local Feature Descriptors
We present an efficient algorithm for continuous image recognition and feature descriptor tracking in video which operates by reducing the search space of possible interest poin...
Duy-Nguyen Ta (Georgia Institute of Technology), W...
ICCV
2003
IEEE
14 years 9 months ago
Using Specularities for Recognition
Recognition systems have generally treated specular highlights as noise. We show how to use these highlights as a positive source of information that improves recognition of shiny...
Margarita Osadchy, David W. Jacobs, Ravi Ramamoort...
ICIAP
2001
Springer
14 years 7 months ago
Bayesian Face Recognition with Deformable Image Models
We propose a novel representation for characterizing image differences using a deformable technique for obtaining pixel-wise correspondences. This representation, which is based o...
Baback Moghaddam, Chahab Nastar, Alex Pentland
MCS
2004
Springer
14 years 1 months ago
A Probabilistic Model Using Information Theoretic Measures for Cluster Ensembles
Abstract. This paper presents a probabilistic model for combining cluster ensembles utilizing information theoretic measures. Starting from a co-association matrix which summarizes...
Hanan Ayad, Otman A. Basir, Mohamed Kamel
CVPR
2006
IEEE
14 years 1 months ago
Specular Flow and the Recovery of Surface Structure
In scenes containing specular objects, the image motion observed by a moving camera may be an intermixed combination of optical flow resulting from diffuse reflectance (diffuse ...
Stefan Roth, Michael J. Black