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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 ...
On the Interaction between Object Recognition and Colour Constancy
(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 ...
Automatic FPGA based implementation of a classification tree
(IEEE, 2004)
We propose a method of automatic hardware implementation of a decision rule based on the Adaboost algorithm. We review the principles of the classification method and we evaluate its hardware implementation cost in term ...
Inter-stage Feature Propagation in Cascade Building with AdaBoost
(IEEE, 2004-08)
A modification of the cascaded detector with the Ada-Boost trained stage classifiers is proposed and brought to bear on the face detection problem. The cascaded detector is a sequential classifier with the ability of early ...
Epipolar Geometry Estimation via RANSAC Benefits from the Oriented Epipolar Constraint
(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 ...
Strategie multi-robotického průzkumu neznámého prostředí, Multi-robot Exporation Strategies
; Supervisor: Faigl Jan; Opponent: Tomek Lukáš (České vysoké učení technické v Praze. Vypočetní a informační centrum., 2012-02-01)
Distribuované prediktivní řízení, Distributed Predictive Control
; Supervisor: Havlena Vladimír; Opponent: Trnka Pavel (České vysoké učení technické v Praze. Vypočetní a informační centrum., 2012-02-01)