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» Image Capture Modelling for High Resolution Reconstruction
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CVPR
2010
IEEE
14 years 3 months ago
A Framework for Ultra High Resolution 3D Imaging
We present an imaging framework to acquire 3D surface scans at ultra high-resolutions (exceeding 600 samples per mm2 ). Our approach couples a standard structured-light setup and ...
Zheng Lu, Yu-Wing Tai, Moshe Ben-Ezra, Michael Bro...
SIAMREV
2011
131views more  SIAMREV 2011»
12 years 10 months ago
Magnetic Resonance Electrical Impedance Tomography (MREIT)
Magnetic Resonance Electrical Impedance Tomography (MREIT) is a new medical imaging modality providing high resolution static conductivity images based on the current injection MRI...
Jin Keun Seo, Eung Je Woo
ECCV
2008
Springer
14 years 9 months ago
Brain Hallucination
Abstract. In this paper, we investigate brain hallucination, or generating a high resolution brain image from an input low-resolution image, with the help of another high resolutio...
François Rousseau
CVPR
2009
IEEE
1382views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Super-Resolution via Recapture and Bayesian Effect Modeling
This paper presents Bayesian edge inference (BEI), a single-frame super-resolution method explicitly grounded in Bayesian inference that addresses issues common to existing meth...
Bryan S. Morse, Dan Ventura, Kevin D. Seppi, Neil ...
EUROGRAPHICS
2010
Eurographics
14 years 4 months ago
Reinterpretable Imager: Towards Variable Post-Capture Space, Angle and Time Resolution in Photography
We describe a novel multiplexing approach to achieve tradeoffs in space, angle and time resolution in photography. We explore the problem of mapping useful subsets of time-varying...
Amit Agrawal, Ashok Veeraraghavan, Ramesh Raskar