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» A Robust Method for Estimating the Fundamental Matrix
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CVPR
2007
IEEE
14 years 9 months ago
A minimal solution to the autocalibration of radial distortion
Epipolar geometry and relative camera pose computation are examples of tasks which can be formulated as minimal problems and solved from a minimal number of image points. Finding ...
Tomás Pajdla, Zuzana Kukelova
ICASSP
2011
IEEE
12 years 11 months ago
Source number estimation in impulsive noise environments using bootstrap techniques and robust statistics
We consider the problem of source number estimation in array processing when impulsive noise is present. To combat impulsive noise more effectively, two robust estimators with hig...
Zhihua Lu, Yacine Chakhchoukh, Abdelhak M. Zoubir
CVPR
1999
IEEE
13 years 12 months ago
Projective Rectification Without Epipolar Geometry
We present a novel algorithm performing projective rectification which does not require explicit computation of the epipolar geometry, and specifically of the fundamental matrix. ...
Francesco Isgrò, Emanuele Trucco
ICASSP
2011
IEEE
12 years 11 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
ICCV
2009
IEEE
15 years 15 days ago
Tensor completion for estimating missing values in visual data
In this paper we propose an algorithm to estimate missing values in tensors of visual data. The values can be missing due to problems in the acquisition process, or because the ...
Ji Liu, Przemyslaw Musialski, Peter Wonka, Jieping...