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» Deriving Intrinsic Images from Image Sequences
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AAAI
2004
13 years 11 months ago
Self-Organizing Visual Maps
This paper deals with automatically learning the spatial distribution of a set of images. That is, given a sequence of images acquired from well-separated locations, how can they ...
Robert Sim, Gregory Dudek
TMI
2010
165views more  TMI 2010»
13 years 8 months ago
Spatio-Temporal Data Fusion for 3D+T Image Reconstruction in Cerebral Angiography
—This paper provides a framework for generating high resolution time sequences of 3D images that show the dynamics of cerebral blood flow. These sequences have the potential to ...
Andrew Copeland, Rami Mangoubi, Mukund N. Desai, S...
MICCAI
2005
Springer
14 years 3 months ago
Consistent Estimation of Cardiac Motions by 4D Image Registration
A 4D image registration method is proposed for consistent estimation of cardiac motion from MR image sequences. Under this 4D registration framework, all 3D cardiac images taken at...
Dinggang Shen, Hari Sundar, Zhong Xue, Yong Fan, H...
ICMCS
2005
IEEE
90views Multimedia» more  ICMCS 2005»
14 years 3 months ago
Eye Detection Under Unconstrained Background by the Terrain Feature
Locating eyes in face images is an important step for automatic face analysis and recognition. In this paper, we present a novel approach for eye detection without finding the fa...
Jun Wang, Lijun Yin
MICCAI
2005
Springer
14 years 11 months ago
Model-Based Parameter Recovery from Uncalibrated Optical Images
We propose a novel method for quantitative interpretation of uncalibrated optical images which is derived explicitly from an analysis of the image formation model. Parameters chara...
Stephen J. Preece, I. B. Styles, S. D. Cotton, Ela...