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» A new method for camera motion parameter estimation
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TIP
2011
231views more  TIP 2011»
13 years 2 months ago
Variational Bayesian Super Resolution
—In this paper, we address the super resolution (SR) problemfromasetofdegradedlowresolution(LR)imagestoobtain a high resolution (HR) image. Accurate estimation of the sub-pixel m...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
IBPRIA
2005
Springer
14 years 1 months ago
Performance Driven Facial Animation by Appearance Based Tracking
We present a method that estimates high level animation parameters (muscle contractions, eye movements, eye lids opening, jaw motion and lips contractions) from a marker-less face ...
José Miguel Buenaposada, Enrique Muñ...
CVPR
2010
IEEE
14 years 4 months ago
Using cloud shadows to infer scene structure and camera calibration
We explore the use of clouds as a form of structured lighting to capture the 3D structure of outdoor scenes observed over time from a static camera. We derive two cues that relate ...
Nathan Jacobs, Brian Bies, and Robert Pless
CVPR
2009
IEEE
14 years 2 months ago
On bias correction for geometric parameter estimation in computer vision
Maximum likelihood (ML) estimation is widely used in many computer vision problems involving the estimation of geometric parameters, from conic fitting to bundle adjustment for s...
Takayuki Okatani, Koichiro Deguchi
ICCV
2011
IEEE
12 years 7 months ago
Conditional Random Fields for Multi-Camera Object Detection
We formulate a model for multi-class object detection in a multi-camera environment. From our knowledge, this is the first time that this problem is addressed taken into account ...
Xavier Boix, Gemma Roig, Horesh Ben Shitrit, Pasca...