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» Graph-Theoretical Methods in Computer Vision
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ECCV
2004
Springer
15 years 8 months ago
Robust Fitting by Adaptive-Scale Residual Consensus
Computer vision tasks often require the robust fit of a model to some data. In a robust fit, two major steps should be taken: i) robustly estimate the parameters of a model, and ii...
Hanzi Wang, David Suter
ICCV
2011
IEEE
14 years 2 months ago
BRISK: Binary Robust Invariant Scalable Keypoints
Effective and efficient generation of keypoints from an image is a well-studied problem in the literature and forms the basis of numerous Computer Vision applications. Establishe...
Stefan Leutenegger, Margarita Chli, Roland Y. Sieg...
112
Voted
ICPR
2000
IEEE
15 years 7 months ago
Multichannel Blind Deconvolution of the Short-Exposure Astronomical Images
In this paper we present a new multichannel blind deconvolution method based on so-called subspace technique that was originally proposed by Harikumar and Bresler. When at least t...
Filip Sroubek, Jan Flusser, Tomás Suk, Stan...
97
Voted
ICPR
2006
IEEE
16 years 3 months ago
Motion Dependent Spatiotemporal Smoothing for Noise Reduction in Very Dim Light Image Sequences
A new method for noise reduction using spatiotemporal smoothing is presented in this paper. The method is developed especially for reducing the noise that arises when acquiring vi...
Henrik Malm, Eric Warrant
114
Voted
ICPR
2000
IEEE
16 years 3 months ago
Using Geometric Constraints for Matching Disparate Stereo Views of 3D Scenes Containing Planes
Several vision tasks rely upon the availability of sets of corresponding features among images. This paper presents a method which, given some corresponding features in two stereo...
Manolis I. A. Lourakis, Stavros V. Tzurbakis, Anto...