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DAGM
2001
Springer
14 years 2 days ago
Similarity Measures for Occlusion, Clutter, and Illumination Invariant Object Recognition
Novel similarity measures for object recognition and image matching are proposed, which are inherently robust against occlusion, clutter, and nonlinear illumination changes. They c...
Carsten Steger
TIP
2008
115views more  TIP 2008»
13 years 7 months ago
Nonlinearities in Stereoscopic Phase-Differencing
Exploiting the quasi-linear relationship between local phase and disparity, phase-differencing registration algorithms provide a fast, powerful means for disparity estimation. Unfo...
James Monaco, Alan C. Bovik, Lawrence K. Cormack
ESANN
2006
13 years 9 months ago
Hierarchical markovian models for joint classification, segmentation and data reduction of hyperspectral images
Spectral classification, segmentation and data reduction are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation approach which ...
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpou...
ICIP
2006
IEEE
14 years 9 months ago
Joint Dimensionality Reduction, Classification and Segmentation of Hyperspectral Images
Dimensionality reduction, spectral classification and segmentation are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation appr...
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpou...
ITCC
2003
IEEE
14 years 25 days ago
Estimation Of Motion From A Sequence Of Images Using Spherical Projective Geometry
: Motion is an important cue for many applications. Here we propose a solution for estimating motion from a sequence of images using three algorithms, viz., Batch, Recursive and Bo...
Madasu Hanmandlu, Shantaram Vasikarla, Vamsi Krish...