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» Deriving Intrinsic Images from Image Sequences
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BMVC
2010
15 years 4 months ago
Improved Anatomical Landmark Localization in Medical Images Using Dense Matching of Graphical Models
We propose a method for reliably and accurately identifying anatomical landmarks in 3D CT volumes based on dense matching of parts-based graphical models. Such a system can be use...
Vaclav Potesil, Timor Kadir, Günther Platsch,...
ICIP
2004
IEEE
16 years 8 months ago
Fast alignment of digital images using a lower bound on an entropy metric
We propose a registration algorithm based on successively refined quantization and an alignment metric derived from a minimal spanning tree entropy estimate. The metric favors edg...
Mert R. Sabuncu, Peter J. Ramadge
EMMCVPR
2009
Springer
16 years 1 months ago
Image Registration under Varying Illumination: Hyper-Demons Algorithm
Abstract. The goal of this paper is to present a novel recipe for deformable image registration under varying illumination, as a natural extension of the demons algorithm. This gen...
Mehran Ebrahimi, Anne L. Martel
TIP
2008
169views more  TIP 2008»
15 years 6 months ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht
WACV
2005
IEEE
16 years 1 days ago
Mapping the Physical Properties of Cosmic Hot Gas with Hyper-Spectral Imaging
A novel inversion technique is proposed to compute parametric maps showing the temperature, density and chemical composition of cosmic hot gas from X-ray hyper-spectral images. Th...
Mark O'Dwyer, Ela Claridge, Trevor Ponman, Somak R...