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» Image Capture Modelling for High Resolution Reconstruction
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CVPR
2010
IEEE
15 years 6 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»
14 years 10 days 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
15 years 11 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»
16 years 4 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
15 years 6 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