Publication detail

Corner Detectors: Evaluation of Information Content

ZUKAL, M. ČÍKA, P.

Original Title

Corner Detectors: Evaluation of Information Content

English Title

Corner Detectors: Evaluation of Information Content

Type

conference paper

Language

en

Original Abstract

This paper aims at the comparison of different corner detectors in terms of information content. Specifically, the FAST, Harris, Harris-Laplace and KLT detector are tested. We prove a hypothesis that the neighborhood of points detected by interest point detectors conveys more information than randomly selected points. The information content was computed from the 8x8 neighborhood of the detected points using entropy. From the qualitative point of view, we have observed that the Harris detector performed best in this measurement and was closely followed by the KLT detector.

English abstract

This paper aims at the comparison of different corner detectors in terms of information content. Specifically, the FAST, Harris, Harris-Laplace and KLT detector are tested. We prove a hypothesis that the neighborhood of points detected by interest point detectors conveys more information than randomly selected points. The information content was computed from the 8x8 neighborhood of the detected points using entropy. From the qualitative point of view, we have observed that the Harris detector performed best in this measurement and was closely followed by the KLT detector.

Keywords

FAST, Harris detector, information content, interest point detector, KLT

RIV year

2012

Released

04.07.2012

ISBN

978-1-4673-1118-2

Book

35th International Conference on Telecommunications and Signal Processing

Edition number

1

Pages from

763

Pages to

767

Pages count

5

BibTex


@inproceedings{BUT93536,
  author="Martin {Zukal} and Petr {Číka}",
  title="Corner Detectors: Evaluation of Information Content",
  annote="This paper aims at the comparison of different corner detectors in terms of information content. Specifically, the FAST, Harris, Harris-Laplace and KLT detector are tested. We prove a hypothesis that the neighborhood of points detected by interest point detectors conveys more information than randomly selected points. The information content was computed from the 8x8 neighborhood of the detected points using entropy. From the qualitative point of view, we have observed that the Harris detector performed best in this measurement and was closely
followed by the KLT detector.",
  booktitle="35th International Conference on Telecommunications and Signal Processing",
  chapter="93536",
  howpublished="electronic, physical medium",
  year="2012",
  month="july",
  pages="763--767",
  type="conference paper"
}