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» Learning Dynamic Event Descriptions in Image Sequences
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FGR
2006
IEEE
121views Biometrics» more  FGR 2006»
14 years 1 months ago
Learning to Identify Facial Expression During Detection Using Markov Decision Process
While there has been a great deal of research in face detection and recognition, there has been very limited work on identifying the expression on a face. Many current face detect...
Ramana Isukapalli, Ahmed M. Elgammal, Russell Grei...
CVPR
2011
IEEE
12 years 11 months ago
Space-Time Super-Resolution from a Single Video
Spatial Super Resolution (SR) aims to recover fine image details, smaller than a pixel size. Temporal SR aims to recover rapid dynamic events that occur faster than the video fra...
Oded Shahar, Alon Faktor, Michal Irani
3DPVT
2006
IEEE
203views Visualization» more  3DPVT 2006»
14 years 1 months ago
A Spatio-Temporal Modeling Method for Shape Representation
The spherical harmonic (SPHARM) description is a powerful surface modeling technique that can model arbitrarily shaped but simply connected three dimensional (3D) objects. Because...
Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, J...
CVPR
2005
IEEE
14 years 9 months ago
Space-Time Behavior Based Correlation
We introduce a behavior-based similarity measure which tells us whether two different space-time intensity patterns of two different video segments could have resulted from a simi...
Eli Shechtman, Michal Irani
PAMI
2006
243views more  PAMI 2006»
13 years 7 months ago
Dynamical Statistical Shape Priors for Level Set-Based Tracking
In recent years, researchers have proposed to introduce statistical shape knowledge into level set based segmentation methods in order to cope with insufficient low-level informati...
Daniel Cremers