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4D reconstruction

In computer vision and computer graphics, 4D reconstruction is the process of capturing the shape and appearance of real objects along a temporal… 
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Papers overview

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2019
2019
Learning an embedding space is essential in clustering. Deep learning has been used recently for this purpose, yielding… 
2018
2018
A reliable algorithm for rendering depth of field (DoF) effects using estimated depth maps, obtained through stereo matching, is… 
2017
2017
Advanced kinetic models, such as the linear parametric neurotransmitter PET (lp-ntPET), have been recently developed to model and… 
2012
2012
The 4D Reconstruction Studio developed at MTA SZTAKI enables real-time creation of dynamic 3D models for moving articulated… 
Review
2012
Review
2012
Recently, a 4D reconstruction studio has been built at the Computer and Automation Research Institute of the Hungarian Academy of… 
2011
2011
Estimation of non-linear micro-parameters is a computationally demanding process, since it involves the use of iterative non… 
2008
2008
Fully 4D image reconstruction, through its use of temporally extensive basis functions, is able to reduce spatiotemporal noise in… 
2007
2007
In this contribution, the results of a phantom study for in-stent restenosis imaging with ECG gated continuous circular… 
2005
2005
We describe a technique for 4D-reconstruction of coronary arteries from a sequence of monoplane X-ray angiograms. An initial 3D… 
2003
2003
In standard SPECT with static radio-tracers, the activity distribution in tissue is assumed constant during the acquisition…