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» Object Structure from Noisy Images
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ICPR
2008
IEEE
14 years 6 months ago
Recursive structure and motion estimation from noisy uncalibrated video sequences
This paper builds on a novel framework of hybrid matching constraints for estimation of structure and recovery of camera focal length and motion, combining the advantages of both ...
Anders Heyden, Du Q. Huynh
ICA
2010
Springer
13 years 6 months ago
Recovering Spikes from Noisy Neuronal Calcium Signals via Structured Sparse Approximation
Two-photon calcium imaging is an emerging experimental technique that enables the study of information processing within neural circuits in vivo. While the spatial resolution of th...
Eva L. Dyer, Marco F. Duarte, Don H. Johnson, Rich...
ICIP
2004
IEEE
14 years 7 months ago
Efficient inscribing of noisy rectangular objects in scanned images
Objects identification in images is generally hard unless the objects are simple geometric shapes such as circles, rectangles or have very particular properties. Even simple geome...
Cormac Herley
CVPR
2010
IEEE
13 years 5 months ago
Delineating trees in noisy 2D images and 3D image-stacks
We present a novel approach to fully automated delineation of tree structures in noisy 2D images and 3D image stacks. Unlike earlier methods that rely mostly on local evidence, ou...
Germán González, Engin Türetken...
ICIP
2002
IEEE
14 years 7 months ago
Complexity regularized shape estimation from noisy Fourier data
We consider the estimation of an unknown arbitrary 2D object shape from sparse noisy samples of its Fourier transform. The estimate of the closed boundarycurve is parametrized by ...
Natalia A. Schmid, Yoram Bresler, Pierre Moulin