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ECCV
2004
Springer
15 years 10 months ago
Cone-Beam Image Reconstruction by Moving Frames
In this paper, we present a new algorithmic paradigm for cone-beam image reconstruction. The new class of algorithms, referred to as cone-beam reconstruction by moving frames, enab...
Xiaochun Yang 0002, Berthold K. P. Horn
DGCI
2006
Springer
15 years 8 months ago
A Network Flow Algorithm for Binary Image Reconstruction from Few Projections
Tomography deals with the reconstruction of images from their projections. In this paper we focus on tomographic reconstruction of binary images (i.e., black-and-white) that do not...
Kees Joost Batenburg
ICIP
2009
IEEE
15 years 2 months ago
Optical flow and depth from motion for omnidirectional images using a TV-L1 variational framework on graphs
This paper deals with the problem of efficiently computing the optical flow of image sequences acquired by omnidirectional (nearly full field of view) cameras. We formulate the pr...
Luigi Bagnato, Pascal Frossard, Pierre Vandergheyn...
MICCAI
2009
Springer
16 years 6 months ago
A Fast Alternative to Computational Fluid Dynamics for High Quality Imaging of Blood Flow
Obtaining detailed, patient-specific blood flow information would be very useful in detecting and monitoring cardio-vascular diseases. Current approaches rely on computational flui...
Robert H. P. McGregor, Dominik Szczerba, Krishnamu...
ICPR
2004
IEEE
16 years 6 months ago
Robust Feature Matching Across Widely Separated Color Images
We present a novel method for feature matching across widely separated color images. The proposed approach is robust and can support various correspondence based algorithms e.g. t...
Alexander Kaplan, Ehud Rivlin, Ilan Shimshoni