Local contour descriptors around scale-invariant keypoints

Andrea Kovács, Tamás Szirányi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Describing local patches to register image keypoints is an important task for building a huge database from video frames. When searching for an efficient descriptor, task is twofold: features must describe the featuring patches at a high efficiency, while the dimensionality should be kept at a manageable low value. The main assumption in finding local descriptors is the defect of continuity in the discrete neighborhood or the imperfectness of local shape formats. Curve fitting methods for noisy shapes are called: active contours are generated around keypoints. Local contours are characterized by a small number of Fourier descriptors, resulting a new feature set of low dimensionality. Similarity among different images are searched through these descriptors. The method was tested on 22 real-life video frames made by an outdoor surveillance camera of a city police central.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
PublisherIEEE Computer Society
Pages1105-1108
Number of pages4
ISBN (Print)9781424456543
DOIs
Publication statusPublished - Jan 1 2009
Event2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, Egypt
Duration: Nov 7 2009Nov 10 2009

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2009 IEEE International Conference on Image Processing, ICIP 2009
CountryEgypt
CityCairo
Period11/7/0911/10/09

Keywords

  • Active contour
  • Fourier descriptor
  • Local features
  • SIFT

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Kovács, A., & Szirányi, T. (2009). Local contour descriptors around scale-invariant keypoints. In 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings (pp. 1105-1108). [5413448] (Proceedings - International Conference on Image Processing, ICIP). IEEE Computer Society. https://doi.org/10.1109/ICIP.2009.5413448