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» Image matching using local symmetry features
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ISVC
2010
Springer
15 years 5 months ago
Attention-Based Target Localization Using Multiple Instance Learning
Abstract. We propose a novel Multiple Instance Learning (MIL) framework to perform target localization from image sequences. The proposed approach consists of a softmax logistic re...
Karthik Sankaranarayanan, James W. Davis
ICCV
2003
IEEE
16 years 8 months ago
High resolution terrain mapping using low altitude aerial stereo imagery
This paper presents an approach to build high resolution digital elevation maps from a sequence of unregistered low altitude stereovision image pairs. The approach first uses a vi...
Il-Kyun Jung, Simon Lacroix

Publication
209views
14 years 8 months ago
A Review of Facial Feature Detection Algorithms
Facial feature localization is an important task in numerous applications of face image analysis that include face recognition and verification, facial expression recognition, dr...
Stylianos Asteriadis, Nikos Nikolaidis, Ioannis Pi...
CVPR
2003
IEEE
16 years 8 months ago
Extracting Dense Features for Visual Correspondence with Graph Cuts
We present a method for extracting dense features from stereo and motion sequences. Our dense feature is defined symmetrically with respect to both images, and it is extracted dur...
Olga Veksler
193
Voted
IJON
2006
169views more  IJON 2006»
15 years 6 months ago
Denoising using local projective subspace methods
In this paper we present denoising algorithms for enhancing noisy signals based on Local ICA (LICA), Delayed AMUSE (dAMUSE) and Kernel PCA (KPCA). The algorithm LICA relies on app...
Peter Gruber, Kurt Stadlthanner, Matthias Böh...