Title :
Description and recognition of curved objects
Author_Institution :
Dept. of Mech. & Eng., Beijing Inst. of Technol., China
fDate :
30 Aug-3 Sep 1992
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;
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
DOI :
10.1109/ICPR.1992.202025
