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» Robust estimation for sparse data
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ICIP
2005
IEEE
15 years 3 months ago
3D reconstruction of localized objects from radiographs and based on multiresolution and sparsity
We address the reconstruction of a 3D image from a set of incomplete X-ray tomographic data. In the case where the image is composed of one or several objects lying in a uniform b...
Charles Soussen, Jérôme Idier
ICASSP
2011
IEEE
14 years 1 months ago
Robust hyperspectral signal unmixing in the presence of correlated noise
Hyperspectral imaging analysis aims at the estimation of the number of constituent substances, known as endmembers, their spectral signatures as well as their abundance fractions ...
Masoud Farzam, Soosan Beheshti
CVPR
2010
IEEE
15 years 1 months ago
Classification and Clustering via Dictionary Learning with Structured Incoherence
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
Pablo Sprechmann, Ignacio Ramirez, Guillermo Sapir...
PAMI
2012
13 years 9 days ago
Simultaneously Fitting and Segmenting Multiple-Structure Data with Outliers
Abstract—We propose a robust fitting framework, called Adaptive Kernel-Scale Weighted Hypotheses (AKSWH), to segment multiplestructure data even in the presence of a large number...
Hanzi Wang, Tat-Jun Chin, David Suter
SMA
2009
ACM
132views Solid Modeling» more  SMA 2009»
15 years 4 months ago
Robust Voronoi-based curvature and feature estimation
Many algorithms for shape analysis and shape processing rely on accurate estimates of differential information such as normals and curvature. In most settings, however, care must...
Quentin Mérigot, Maks Ovsjanikov, Leonidas ...