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» Covariant Derivatives and Vision
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98
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PAMI
2002
112views more  PAMI 2002»
15 years 10 days ago
Feature Space Trajectory Methods for Active Computer Vision
We advance new active object recognition algorithms that classify rigid objects and estimate their pose from intensity images. Our algorithms automatically detect if the class or p...
Michael A. Sipe, David Casasent
CORR
2007
Springer
167views Education» more  CORR 2007»
15 years 20 days ago
Optimal Solutions for Sparse Principal Component Analysis
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a linear combination of the input variables while constraining the number of nonze...
Alexandre d'Aspremont, Francis R. Bach, Laurent El...
106
Voted
CVPR
2007
IEEE
16 years 2 months ago
Maximally Stable Colour Regions for Recognition and Matching
This paper introduces a novel colour-based affine covariant region detector. Our algorithm is an extension of the maximally stable extremal region (MSER) to colour. The extension ...
Per-Erik Forssén
87
Voted
ECCV
2002
Springer
16 years 2 months ago
Time-Recursive Velocity-Adapted Spatio-Temporal Scale-Space Filters
Abstract. This paper presents a theory for constructing and computing velocity-adapted scale-space filters for spatio-temporal image data. Starting from basic criteria in terms of ...
Tony Lindeberg
ICPR
2004
IEEE
16 years 1 months ago
Illumination and Expression Invariant Face Recognition with One Sample Image
Most face recognition approaches either assume constant lighting condition or standard facial expressions, thus cannot deal with both kinds of variations simultaneously. This prob...
Brian C. Lovell, Shaokang Chen