Description and recognition of curved objects

Author

Jia, Yunde

Author_Institution

Dept. of Mech. & Eng., Beijing Inst. of Technol., China

fYear

1992

fDate

30 Aug-3 Sep 1992

Firstpage

464

Lastpage

467

Abstract

The author presents an approach to the approximation of curves for the description and recognition of curved objects. One needs only to make a rotation and a scaling respectively to a circular arc to find the longest arc of the approximation of the part of a curve which might contain linear segments. As all points in the curve are independent from each other in computing, it is easy to use a parallel algorithm for fast computing. Experiments on several high resolution tactile images show the algorithm behaves well. This method can also be extended to the recognition of occluded curved objects

Keywords

curve fitting; image recognition; image segmentation; parallel algorithms; circular arc; curve approximation; curved objects; high resolution tactile images; linear segments; object recognition; occluded curved objects; parallel algorithm; rotation; scaling; Approximation error; Clocks; Computer vision; Concatenated codes; Concurrent computing; Counting circuits; Image resolution; Image segmentation; Parallel algorithms; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on

Conference_Location

The Hague

Print_ISBN

0-8186-2920-7

Type

conf

DOI

10.1109/ICPR.1992.202025

Filename

202025