Detail publikačního výsledku

Corner Detection Based on Estimated Eigenvalues

VENERA, J.

Originální název

Corner Detection Based on Estimated Eigenvalues

Anglický název

Corner Detection Based on Estimated Eigenvalues

Druh

Stať ve sborníku mimo WoS a Scopus

Originální abstrakt

The main goal of this paper is to introduce existing methods for corner detection which are suitable for HW implementation. In paper is introduced a new method for corner detection based on estimated eigen-values of auto-correlation matrix and comparison of mentioned detectors.

Anglický abstrakt

The main goal of this paper is to introduce existing methods for corner detection which are suitable for HW implementation. In paper is introduced a new method for corner detection based on estimated eigen-values of auto-correlation matrix and comparison of mentioned detectors.

Klíčová slova

corner detection, autocorrelation matrix, Harris Plessey operator, Förstner operator, Kitchen and Rosenfeld operator, eigen-values, image processing

Klíčová slova v angličtině

corner detection, autocorrelation matrix, Harris Plessey operator, Förstner operator, Kitchen and Rosenfeld operator, eigen-values, image processing

Autoři

VENERA, J.

Vydáno

08.06.2007

Nakladatel

Comenius University in Bratislava

Místo

Bratislava

ISBN

9788022322928

Kniha

23 Proceedings Spring Conference on Computer graphic April 26-28, 2007, Budmerice, Slovakia

Strany od

71

Strany do

78

Strany počet

8

BibTex

@inproceedings{BUT26053,
  author="Jiří {Venera}",
  title="Corner Detection Based on Estimated Eigenvalues",
  booktitle="23 Proceedings Spring Conference on Computer graphic April 26-28, 2007, Budmerice, Slovakia",
  year="2007",
  pages="71--78",
  publisher="Comenius University in Bratislava",
  address="Bratislava",
  isbn="9788022322928"
}