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Geometric Hashing with Local Af ne Frames
(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 ...
Stable affine frames on isophotes
(IEEE, 2007-10)
We propose a new affine-covariant feature, the stable affine frame (SAF). SAFs lie on the boundary of extremal regions, i.e. on isophotes. Instead of requiring the whole isophote to be stable with respect to intensity ...
Randomized RANSAC with Sequential Probability Ratio Test
(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
(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 ...
Two-view Geometry Estimation Unaffected by a Dominant Plane
(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
(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 ...
AdaBoost with Totally Corrective Updates for Fast Face Detection
(IEEE, 2004-05)
An extension of the AdaBoost learning algorithm is proposed and brought to bear on the face detection problem. In each weak classifier selection cycle, the novel totally corrective algorithm reduces aggressively the upper ...
WaldBoost – Learning for Time Constrained Sequential Detection
(IEEE, 2005-06)
In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of sequential decision-making. If the false ...
Unconstrained Licence Plate and Text Localization and Recognition
(IEEE, 2005-09)
Licence plates and traffic signs detection and recognition have a number of different applications relevant for transportation systems, such as traffic monitoring, detection of stolen vehicles, driver navigation support ...