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» Unbundling Active Functionality
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128
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ICIP
2007
IEEE
16 years 4 months ago
Large Scale Learning of Active Shape Models
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
Atul Kanaujia, Dimitris N. Metaxas
105
Voted
ICIP
2005
IEEE
16 years 4 months ago
Range-enhanced active foreground extraction
We describe a new technique that uses active scene illumination to perform foreground-background segmentation and recover partial HDR information. We explore the fact that relativ...
Asla Medeiros Sá, Marcelo Bernardes Vieira,...
136
Voted
MICCAI
2008
Springer
16 years 3 months ago
3D Brain Segmentation Using Active Appearance Models and Local Regressors
We describe an efficient and accurate method for segmenting sets of subcortical structures in 3D MR images of the brain. We first find the approximate position of all the structure...
Kolawole O. Babalola, Timothy F. Cootes, Carole ...
SIBGRAPI
2009
IEEE
15 years 9 months ago
Multi-Frame Motion Detection for Active/Unstable Cameras
—Network cameras, extensively used in video surveillance, often allow pan-tilt-zoom functionality and are also subject to wind load and mount vibrations, thus causing video frame...
Mirko Ristivojevic, Janusz Konrad
118
Voted
SAINT
2005
IEEE
15 years 8 months ago
Inductive Logic Programming for Structure-Activity Relationship Studies on Large Scale Data
Inductive Logic Programming (ILP) is a combination of inductive learning and first-order logic aiming to learn first-order hypotheses from training examples. ILP has a serious b...
Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numa...