Title :
Learning two-dimensional shapes using wavelet local extrema
Author :
Nakamura, Yuichi ; Yoshida, Tsutomu
Author_Institution :
Inst. of Inf. Sci. & Electron., Tsukuba Univ., Japan
Abstract :
The basic idea of the method for shape learning is presented. Each shape is hierarchically characterized with singularities (local extrema) of wavelet transform of its tangential orientation function. By taking the common structure of the singularities of two or more shapes, the common characteristics of the input shapes are obtained. Through this operation, not only the rough outline of a shape but also several important characteristics of shapes are acquired
Keywords :
wavelet transforms; 2D shape learning; corner characteristics; interpolation; shape matching; singularities; tangential orientation function; wavelet local extrema; wavelet transform; Cities and towns; Filtering; Filters; Mirrors; Shape; Signal analysis; Signal reconstruction; Smoothing methods; Visualization; Wavelet transforms;
Conference_Titel :
Pattern Recognition, 1994. Vol. 3 - Conference C: Signal Processing, Proceedings of the 12th IAPR International Conference on
Conference_Location :
Jerusalem
Print_ISBN :
0-8186-6275-1
DOI :
10.1109/ICPR.1994.577120
