Detecting parameteric curves using the straight line Hough transform

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationProceedings - International Conference on Pattern Recognition
PublisherPubl by IEEE
Pages620-625
Volume1
ISBN (Print)818620625
Publication statusPublished - 1990
Externally publishedYes

Publication series

Name
Volume1

Conference

TitleProceedings of the 10th International Conference on Pattern Recognition
CityAtlantic City, NJ, USA
Period16 - 21 June 1990

Abstract

A novel approach for the detection of parametric curves using the straight-line Hough transform is presented. The transform function of a curve can be expressed as the sum of two terms, namely, the intrinsic term and the translation term. This representation allows a natural decomposition of the high-dimensional parameter space into three subspaces: the intrinsic curve parameters, translation, and rotation. By eliminating either the translation term or the intrinsic term, one can easily determine the parameters of the remaining term. The complexity of this method depends mainly on the angular resolution, which is relatively independent of the arc length of the curve. The computational complexity of this approach compares favorably with that of other approaches based on the Hough transform.

Citation Format(s)

Detecting parameteric curves using the straight line Hough transform. / Pao, Derek; Li, H. F.; Jayakumar, R.

Proceedings - International Conference on Pattern Recognition. Vol. 1 Publ by IEEE, 1990. p. 620-625.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review