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Joint Orientation of Epipoles 

Chum, Ondřej; Werner, Tomáš; Pajdla, Tomáš (British Machine Vision Association, 2003-09)
It is known that epipolar constraint can be augmented with orientation by formulating it in the oriented projective geometry. This oriented epipolar constraint requires knowing the orientations (signs of overall scales) ...

Local Affine Frames for Wide-Baseline Stereo 

Matas, Jiří; Obdržálek, Štěpán; Chum, Ondřej (IEEE, 2002)
A novel procedure for establishing wide-baseline correspondence is introduced. Tentative correspondences are established by matching photometrically normalised colour measurements represented in a local affine frame. The ...

Two-view Geometry Estimation Unaffected by a Dominant Plane 

Chum, Ondřej; Werner, Tomáš; Matas, Jiří (IEEE, 2005-06)
A RANSAC-based algorithm for robust estimation of epipolar geometry from point correspondences in the possible presence of a dominant scene plane is presented. The algorithm handles scenes with (i) all points in a single ...

Matching with PROSAC – Progressive Sample Consensus 

Chum, Ondřej; Matas, Jiří (IEEE, 2005-06)
A new robust matching method is proposed. The progressive sample consensus (PROSAC) algorithm exploits the linear ordering defined on the set of correspondences by a similarity function used in establishing tentative ...

On the Interaction between Object Recognition and Colour Constancy 

Obdržálek, Štěpán; Matas, Jiří; Chum, Ondřej (IEEE, 2003)
In this paper we investigate some aspects of the interaction between colour constancy and object recognition. We demonstrate that even under severe changes of illumination, many objects are reliably recognised if relying ...

Epipolar Geometry Estimation via RANSAC Benefits from the Oriented Epipolar Constraint 

Chum, Ondřej; Werner, Tomáš; Matas, Jiří (IEEE, 2004-08)
The efficiency of epipolar geometry estimation by RANSAC is improved by exploiting the oriented epipolar constraint. Performance evaluation shows that the enhancement brings up to a two-fold speed-up. The orientation test ...

Optimal Randomized RANSAC 

Chum, Ondřej; Matas, Jiří (IEEE, 2008-08)
A randomized model verification strategy for RANSAC is presented. The proposed method finds, like RANSAC, a solution that is optimal with user-specified probability. The solution is found in time that is close to the ...

Geometric Hashing with Local Af ne Frames 

Chum, Ondřej; Matas, Jiří (IEEE, 2006-06)
We propose a novel representation of local image structure and a matching scheme that are insensitive to a wide range of appearance changes. The representation is a collection of local affine frames that are constructed ...

Randomized RANSAC with Sequential Probability Ratio Test 

Matas, Jiří; Chum, Ondřej (IEEE, 2005-10)
A randomized model verification strategy for RANSAC is presented. The proposed method finds, like RANSAC, a solution that is optimal with user-controllable probability n. A provably optimal model verification strategy is ...

Epipolar Geometry from Two Correspondences 

Perd’och, Michal; Matas, Jiří; Chum, Ondřej (IEEE, 2006)
A novel algorithm for robust RANSAC-like estimation of epipolar geometry (of uncalibrated camera pair) from two correspondences of local affine frames (LAFs) is presented. Each LAF is constructed from three points independently ...
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Chum, Ondřej (16)
Matas, Jiří (15)Perd’och, Michal (5)Werner, Tomáš (3)Obdržálek, Štěpán (2)Doubek, Petr (1)Mikulik, Andrej (1)Pajdla, Tomáš (1)Subjectimage retrieval (2)bag of words (1)contour refinement (1)curvature estimation (1)curvature extrema (1)discretized contour (1)image clustering (1)minHash (1)randomized RANSAC (1)RANSAC (1)... View More

České vysoké učení technické v Praze copyright © 2016 

DSpace software copyright © 2002-2016  Duraspace

Contact Us | Send Feedback
Theme by 
@mire NV