DocumentCode
1705386
Title
Partial matching of two dimensional shapes using random coding
Author
Lee, Chin-hwa ; Quek, Gim Pew
Author_Institution
Dept. of Electr. & Comput. Eng., US Naval Postgraduate Sch., Monterey, CA, USA
fYear
1988
Firstpage
64
Abstract
Three algorithms for coding the boundary of two-dimensional shapes are described. In each algorithm, each boundary point is coded with respect to another point picked at random from the boundary. Using this method, an effective and efficient correlation technique to match two-dimensional shapes is developed. This technique can be used to match shapes of arbitrary scale and orientation. The given shape can have a closed or open boundary or even have a portion obstructed from the view. Matching can be performed with varying degrees of detail, giving the technique an added robustness, against geometrical distortions. It can also discriminate between different shapes. On an IBM 3033 computer it typically takes 10 CPU-seconds to generate one correlation curve between two shapes, each with a 500-point boundary curve
Keywords
pattern recognition; picture processing; IBM 3033 computer; boundary coding; correlation technique; geometrical distortions; partial matching; pattern recognition; picture processing; random coding; shape discrimination; two-dimensional shapes; Formal languages; Noise shaping; Robustness; Shape; Testing; Tree graphs;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1988., 9th International Conference on
Conference_Location
Rome
Print_ISBN
0-8186-0878-1
Type
conf
DOI
10.1109/ICPR.1988.28173
Filename
28173
Link To Document