This paper describes a parallel version of a new automatic Harris-based corner detector. A simple but effective client-server based scheduler has been implemented in order to dynamically distribute the workload on heterogeneous parallel architectures such as Grid systems. Results obtained on the COMETA Grid show the effectiveness and the robustness of the proposed approach
Harris Corner Detector (HCD) algorithm is widely used in many applications of image processing. Its ...
he traditional Harris detector are sensitive to noise and resolution because without the property of...
Edge detectors perform poorly at corners. Corners provide repeatable points for matching, so are wor...
This paper describes a parallel version of a new automatic Harris-based corner detector. A simple ...
A parallel version of a new automatic Harris-based corner detector is presented. A scheduler to dyna...
This paper introduces a new Harris-based feature detector algorithm, characterized by no parameters ...
This paper introduces a new Harris-affine corner detector algorithm, that does not need parameters t...
In this paper, we present a low cost, pipelined FPGA architecture of a Harris Corner Detector. The p...
This study describes a corner selection strategy based on the Harris approach. Corners are usually d...
An affine invariant interest point detector named here as Harris-Bessel detector employing Bessel fi...
Fast corner-detector algorithms are important for achieving real time in different computer vision a...
This article describes an FPGA-based implementation of the Harris-Affine feature detector introduced...
In computer vision system, the features detection and extraction is one of the most basic and import...
Corner detection is a key kernel for many image processing procedures including pattern recognition ...
This report contains the study of corner detection and the parallelisation of corner detection algor...
Harris Corner Detector (HCD) algorithm is widely used in many applications of image processing. Its ...
he traditional Harris detector are sensitive to noise and resolution because without the property of...
Edge detectors perform poorly at corners. Corners provide repeatable points for matching, so are wor...
This paper describes a parallel version of a new automatic Harris-based corner detector. A simple ...
A parallel version of a new automatic Harris-based corner detector is presented. A scheduler to dyna...
This paper introduces a new Harris-based feature detector algorithm, characterized by no parameters ...
This paper introduces a new Harris-affine corner detector algorithm, that does not need parameters t...
In this paper, we present a low cost, pipelined FPGA architecture of a Harris Corner Detector. The p...
This study describes a corner selection strategy based on the Harris approach. Corners are usually d...
An affine invariant interest point detector named here as Harris-Bessel detector employing Bessel fi...
Fast corner-detector algorithms are important for achieving real time in different computer vision a...
This article describes an FPGA-based implementation of the Harris-Affine feature detector introduced...
In computer vision system, the features detection and extraction is one of the most basic and import...
Corner detection is a key kernel for many image processing procedures including pattern recognition ...
This report contains the study of corner detection and the parallelisation of corner detection algor...
Harris Corner Detector (HCD) algorithm is widely used in many applications of image processing. Its ...
he traditional Harris detector are sensitive to noise and resolution because without the property of...
Edge detectors perform poorly at corners. Corners provide repeatable points for matching, so are wor...