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» Adaptive Image Reconstruction Using Information Measures
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CVPR
2008
IEEE
15 years 11 months ago
Stereo reconstruction with mixed pixels using adaptive over-segmentation
We present an over-segmentation based, dense stereo algorithm that jointly estimates segmentation and depth. For mixed pixels on segment boundaries, the algorithm computes foregro...
Yuichi Taguchi, Bennett Wilburn, C. Lawrence Zitni...
ICASSP
2011
IEEE
14 years 1 months ago
Data driven model based least squares image reconstruction for radio astronomy
Image reconstruction problems in radio astronomy and other fields like biomedical imaging are often ill-posed and some form of regularization is required. This imposes user speci...
Stefan J. Wijnholds, Alle-Jan van der Veen
CVPR
2007
IEEE
15 years 11 months ago
Multiple View Image Reconstruction: A Harmonic Approach
This paper presents a new constraint connecting the signals in multiple views of a surface. The constraint arises from a harmonic analysis of the geometry of the imaging process a...
Justin Domke, Yiannis Aloimonos
PDPTA
2004
14 years 11 months ago
P2P-enhanced Distributed Computing in EM Medical Image Reconstruction
As the algorithms that are used to reconstruct medical images from measurable projection data continue to become mature, medical image reconstruction has remained an interesting a...
Xiang Li, Tao He, Shaowen Wang, Ge Wang, Jun Ni
ECCV
2008
Springer
15 years 11 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....