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» Frame-Relative Critical Point Sets in Image Analysis
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ICASSP
2011
IEEE
12 years 11 months ago
Online Kernel SVM for real-time fMRI brain state prediction
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
SCIA
2005
Springer
166views Image Analysis» more  SCIA 2005»
14 years 1 months ago
Clustering Based on Principal Curve
Clustering algorithms are intensively used in the image analysis field in compression, segmentation, recognition and other tasks. In this work we present a new approach in clusteri...
Ioan Cleju, Pasi Fränti, Xiaolin Wu
ICIP
2010
IEEE
13 years 5 months ago
A close-up detection method for movies
Close-up (CU) is a photographic technique which tightly frames a person or an object. In movies, it is applied to guide audience attention and to evoke audience emotion. In this p...
Huiying Liu, Min Xu, Qingming Huang, Jesse S. Jin,...
ISBI
2004
IEEE
14 years 8 months ago
Grid-Enabled Automatic Construction of A Two-Chamber Cardiac PDM from a Large Database of Dynamic 3D Shapes
Point Distribution Modelling (PDM) is an efficient generative technique that can be used to incorporate statistical shape priors into image analysis methods like Active Shape Mode...
Alejandro F. Frangi, Loic Boisrobert, Marcos Lauce...
SMI
2006
IEEE
209views Image Analysis» more  SMI 2006»
14 years 1 months ago
Hardware Rendering of 3D Geometry with Elevation Maps
We present a generic framework for realtime rendering of 3D surfaces. We use the common elevation map primitive, by which a given surface is decomposed into a set of patches. Each...
Tilo Ochotta, Stefan Hiller